{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Three Ways of Storing and Accessing Lots of Images in Python\n",
    "\n",
    "@ysbecca\n",
    "\n",
    "\n",
    "First, loading the CIFAR-10 data into memory as numpy arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded CIFAR-10 training set:\n",
      " - np.shape(images)      (50000, 32, 32, 3)\n",
      " - np.shape(labels)      (50000,)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pickle\n",
    "from pathlib import Path\n",
    "\n",
    "# Path to the unzipped CIFAR data\n",
    "data_dir = Path(\"data/cifar-10-batches-py/\")\n",
    "\n",
    "# Unpickle function provided by the CIFAR hosts\n",
    "def unpickle(file):\n",
    "    with open(file, \"rb\") as fo:\n",
    "        dict = pickle.load(fo, encoding=\"bytes\")\n",
    "    return dict\n",
    "\n",
    "\n",
    "images, labels = [], []\n",
    "for batch in data_dir.glob(\"data_batch_*\"):\n",
    "    batch_data = unpickle(batch)\n",
    "    for i, flat_im in enumerate(batch_data[b\"data\"]):\n",
    "        im_channels = []\n",
    "        # Each image is flattened, with channels in order of R, G, B\n",
    "        for j in range(3):\n",
    "            im_channels.append(\n",
    "                flat_im[j * 1024 : (j + 1) * 1024].reshape(\n",
    "                    (32, 32)\n",
    "                )\n",
    "            )\n",
    "        # Reconstruct the original image\n",
    "        images.append(np.dstack((im_channels)))\n",
    "        # Save the label\n",
    "        labels.append(batch_data[b\"labels\"][i])\n",
    "\n",
    "print(\"Loaded CIFAR-10 training set:\")\n",
    "print(\" - np.shape(images)     \", np.shape(images))\n",
    "print(\" - np.shape(labels)     \", np.shape(labels))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specifying the directories for storage using the different methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "disk_dir = Path(\"data/disk/\")\n",
    "lmdb_dir = Path(\"data/lmdb/\")\n",
    "hdf5_dir = Path(\"data/hdf5/\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Helper functions for timing."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Imports required for the methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class CIFAR_Image():\n",
    "    def __init__(self, image, label):\n",
    "        # Dimensions of image for reconstruction - not really necessary for this\n",
    "        # dataset, but some datasets may include images of varying sizes\n",
    "        self.channels = image.shape[2]\n",
    "        self.size = image.shape[:2]\n",
    "\n",
    "        self.image = image.tobytes()\n",
    "        self.label = label\n",
    "\n",
    "    def get_image(self):\n",
    "        \"\"\" Returns the image as a numpy array. \"\"\"\n",
    "        image = np.frombuffer(self.image, dtype=np.uint8)\n",
    "        return image.reshape(*self.size, self.channels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ysbecca/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "# For disk\n",
    "from PIL import Image\n",
    "import csv\n",
    "\n",
    "# For lmdb\n",
    "import lmdb\n",
    "import pickle\n",
    "\n",
    "# For HDF5\n",
    "import h5py\n",
    "\n",
    "\n",
    "def store_single_disk(image, image_id, label):\n",
    "    \"\"\" Stores a single image as a .png file on disk. \n",
    "        Parameters:\n",
    "        ---------------\n",
    "        image       image array, (32, 32, 3) to be stored\n",
    "        image_id    integer unique ID for image\n",
    "        label       image label\n",
    "    \"\"\"\n",
    "    Image.fromarray(image).save(\n",
    "        disk_dir / f\"{image_id}.png\"\n",
    "    )\n",
    "\n",
    "    with open(\n",
    "        disk_dir / f\"{image_id}.csv\", \"wt\"\n",
    "    ) as csvfile:\n",
    "        writer = csv.writer(\n",
    "            csvfile,\n",
    "            delimiter=\" \",\n",
    "            quotechar=\"|\",\n",
    "            quoting=csv.QUOTE_MINIMAL,\n",
    "        )\n",
    "        writer.writerow([label])\n",
    "\n",
    "\n",
    "def store_single_lmdb(image, image_id, label):\n",
    "    \"\"\" Stores a single image to a LMDB.\n",
    "        Parameters:\n",
    "        ---------------\n",
    "        image       image array, (32, 32, 3) to be stored\n",
    "        image_id    integer unique ID for image\n",
    "        label       image label\n",
    "    \"\"\"\n",
    "\n",
    "    map_size = image.nbytes * 10\n",
    "\n",
    "    # Create a new LMDB environment\n",
    "    env = lmdb.open(\n",
    "        str(lmdb_dir / f\"single_lmdb\"), map_size=map_size\n",
    "    )\n",
    "\n",
    "    # Start a new write transaction\n",
    "    with env.begin(write=True) as txn:\n",
    "        # All key-value pairs need to be strings\n",
    "        value = CIFAR_Image(image, label)\n",
    "        key = f\"{image_id:08}\"\n",
    "        txn.put(key.encode(\"ascii\"), pickle.dumps(value))\n",
    "    env.close()\n",
    "\n",
    "\n",
    "def store_single_hdf5(image, image_id, label):\n",
    "    \"\"\" Stores a single image to an HDF5 file.\n",
    "        Parameters:\n",
    "        ---------------\n",
    "        image       image array, (32, 32, 3) to be stored\n",
    "        image_id    integer unique ID for image\n",
    "        label       image label\n",
    "    \"\"\"\n",
    "\n",
    "    # Create a new HDF5 file\n",
    "    file = h5py.File(hdf5_dir / f\"{image_id}.h5\", \"w\")\n",
    "\n",
    "    # Create a dataset in the file\n",
    "    dataset = file.create_dataset(\n",
    "        \"image\",\n",
    "        np.shape(image),\n",
    "        h5py.h5t.STD_U8BE,\n",
    "        data=image,\n",
    "    )\n",
    "    meta_set = file.create_dataset(\n",
    "        \"meta\",\n",
    "        np.shape(label),\n",
    "        h5py.h5t.STD_U8BE,\n",
    "        data=label,\n",
    "    )\n",
    "    file.close()\n",
    "\n",
    "\n",
    "_store_single_funcs = dict(\n",
    "    disk=store_single_disk,\n",
    "    lmdb=store_single_lmdb,\n",
    "    hdf5=store_single_hdf5,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the write single image experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Method: disk, Time usage: 0.02178083499893546\n",
      "Method: lmdb, Time usage: 0.0024577950025559403\n",
      "Method: hdf5, Time usage: 0.00864763500430854\n"
     ]
    }
   ],
   "source": [
    "from timeit import timeit\n",
    "\n",
    "store_single_timings = dict()\n",
    "\n",
    "for method in (\"disk\", \"lmdb\", \"hdf5\"):\n",
    "    t = timeit(\n",
    "        \"_store_single_funcs[method](image, 0, label)\",\n",
    "        setup=\"image=images[0]; label=labels[0]\",\n",
    "        number=1,\n",
    "        globals=globals(),\n",
    "    )\n",
    "    store_single_timings[method] = t\n",
    "    print(f\"Method: {method}, Time usage: {t}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def store_many_disk(images, labels):\n",
    "    \"\"\" Stores an array of images to disk\n",
    "        Parameters:\n",
    "        ---------------\n",
    "        images       images array, (N, 32, 32, 3) to be stored\n",
    "        labels       labels array, (N, 1) to be stored\n",
    "    \"\"\"\n",
    "    num_images = len(images)\n",
    "\n",
    "    # Save all the images one by one\n",
    "    for i, image in enumerate(images):\n",
    "        Image.fromarray(image).save(disk_dir / f\"{i}.png\")\n",
    "\n",
    "    # Save all the labels to the csv file\n",
    "    with open(\n",
    "        disk_dir / f\"{num_images}.csv\", \"w\"\n",
    "    ) as csvfile:\n",
    "        writer = csv.writer(\n",
    "            csvfile,\n",
    "            delimiter=\" \",\n",
    "            quotechar=\"|\",\n",
    "            quoting=csv.QUOTE_MINIMAL,\n",
    "        )\n",
    "        for label in labels:\n",
    "            # Remember that this typically would be more than just one value per row\n",
    "            writer.writerow([label])\n",
    "\n",
    "\n",
    "def store_many_lmdb(images, labels):\n",
    "    \"\"\" Stores an array of images to LMDB.\n",
    "        Parameters:\n",
    "        ---------------\n",
    "        images       images array, (N, 32, 32, 3) to be stored\n",
    "        labels       labels array, (N, 1) to be stored\n",
    "    \"\"\"\n",
    "    num_images = len(images)\n",
    "\n",
    "    map_size = num_images * images[0].nbytes * 10\n",
    "\n",
    "    # Create a new LMDB DB for all the images\n",
    "    env = lmdb.open(\n",
    "        str(lmdb_dir / f\"{num_images}_lmdb\"),\n",
    "        map_size=map_size,\n",
    "    )\n",
    "\n",
    "    # Same as before; but let's write all the images in a single transaction\n",
    "    with env.begin(write=True) as txn:\n",
    "        for i in range(num_images):\n",
    "            # All key-value pairs need to be Strings\n",
    "            value = CIFAR_Image(images[i], labels[i])\n",
    "            key = f\"{i:08}\"\n",
    "            txn.put(\n",
    "                key.encode(\"ascii\"), pickle.dumps(value)\n",
    "            )\n",
    "    env.close()\n",
    "\n",
    "\n",
    "def store_many_hdf5(images, labels):\n",
    "    \"\"\" Stores an array of images to HDF5.\n",
    "        Parameters:\n",
    "        ---------------\n",
    "        images       images array, (N, 32, 32, 3) to be stored\n",
    "        labels       labels array, (N, 1) to be stored\n",
    "    \"\"\"\n",
    "    num_images = len(images)\n",
    "\n",
    "    # Create a new HDF5 file\n",
    "    file = h5py.File(\n",
    "        hdf5_dir / f\"{num_images}_many.h5\", \"w\"\n",
    "    )\n",
    "\n",
    "    # Create a dataset in the file\n",
    "    dataset = file.create_dataset(\n",
    "        \"images\",\n",
    "        np.shape(images),\n",
    "        h5py.h5t.STD_U8BE,\n",
    "        data=images,\n",
    "    )\n",
    "    meta_set = file.create_dataset(\n",
    "        \"meta\",\n",
    "        np.shape(labels),\n",
    "        h5py.h5t.STD_U8BE,\n",
    "        data=labels,\n",
    "    )\n",
    "    file.close()\n",
    "\n",
    "\n",
    "_store_many_funcs = dict(\n",
    "    disk=store_many_disk,\n",
    "    lmdb=store_many_lmdb,\n",
    "    hdf5=store_many_hdf5,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the multiple images experiment now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(100000, 32, 32, 3)\n",
      "(100000,)\n"
     ]
    }
   ],
   "source": [
    "cutoffs = [10, 100, 1000, 10000, 100000]\n",
    "\n",
    "# Let's double our images so that we have 100,000\n",
    "images = np.concatenate((images, images), axis=0)\n",
    "labels = np.concatenate((labels, labels), axis=0)\n",
    "\n",
    "print(np.shape(images))\n",
    "print(np.shape(labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Method: disk, Time usage: 0.011318083998048678\n",
      "Method: lmdb, Time usage: 0.0015257080012816004\n",
      "Method: hdf5, Time usage: 0.002065688000584487\n",
      "Method: disk, Time usage: 0.1060425999967265\n",
      "Method: lmdb, Time usage: 0.007775104997563176\n",
      "Method: hdf5, Time usage: 0.00335644900042098\n",
      "Method: disk, Time usage: 0.6783636820036918\n",
      "Method: lmdb, Time usage: 0.03405023599771084\n",
      "Method: hdf5, Time usage: 0.004012751996924635\n",
      "Method: disk, Time usage: 8.831336139999621\n",
      "Method: lmdb, Time usage: 0.48035822899691993\n",
      "Method: hdf5, Time usage: 0.03763485200033756\n",
      "Method: disk, Time usage: 80.57666425999923\n",
      "Method: lmdb, Time usage: 4.341894056000456\n",
      "Method: hdf5, Time usage: 0.28518653900391655\n"
     ]
    }
   ],
   "source": [
    "from timeit import timeit\n",
    "\n",
    "store_many_timings = {\"disk\": [], \"lmdb\": [], \"hdf5\": []}\n",
    "\n",
    "for cutoff in cutoffs:\n",
    "    for method in (\"disk\", \"lmdb\", \"hdf5\"):\n",
    "        t = timeit(\n",
    "            \"_store_many_funcs[method](images_, labels_)\",\n",
    "            setup=\"images_=images[:cutoff]; labels_=labels[:cutoff]\",\n",
    "            number=1,\n",
    "            globals=globals(),\n",
    "        )\n",
    "        store_many_timings[method].append(t)\n",
    "\n",
    "        # Print out the method, cutoff, and elapsed time\n",
    "        print(f\"Method: {method}, Time usage: {t}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'disk': [0.011318083998048678,\n",
       "  0.1060425999967265,\n",
       "  0.6783636820036918,\n",
       "  8.831336139999621,\n",
       "  80.57666425999923],\n",
       " 'hdf5': [0.002065688000584487,\n",
       "  0.00335644900042098,\n",
       "  0.004012751996924635,\n",
       "  0.03763485200033756,\n",
       "  0.28518653900391655],\n",
       " 'lmdb': [0.0015257080012816004,\n",
       "  0.007775104997563176,\n",
       "  0.03405023599771084,\n",
       "  0.48035822899691993,\n",
       "  4.341894056000456]}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store_many_timings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualise those results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams.update({'font.size': 20})\n",
    "\n",
    "def plot_with_legend(\n",
    "    x_range,\n",
    "    y_data,\n",
    "    legend_labels,\n",
    "    x_label,\n",
    "    y_label,\n",
    "    title,\n",
    "    log=False,\n",
    "):\n",
    "    \"\"\" Displays a single plot with multiple datasets and matching legends.\n",
    "        Parameters:\n",
    "        --------------\n",
    "        x_range         list of lists containing x data\n",
    "        y_data          list of lists containing y values\n",
    "        legend_labels   list of string legend labels\n",
    "        x_label         x axis label\n",
    "        y_label         y axis label\n",
    "    \"\"\"\n",
    "    plt.style.use(\"seaborn-whitegrid\")\n",
    "    plt.figure(figsize=(10, 7))\n",
    "\n",
    "    if len(y_data) != len(legend_labels):\n",
    "        raise TypeError(\n",
    "            \"Error: the number of data sets does not match the number of labels provided.\"\n",
    "        )\n",
    "\n",
    "    all_plots = []\n",
    "    for data, label in zip(y_data, legend_labels):\n",
    "        if log:\n",
    "            temp, = plt.loglog(x_range, data, label=label)\n",
    "        else:\n",
    "            temp, = plt.plot(x_range, data, label=label)\n",
    "        all_plots.append(temp)\n",
    "\n",
    "    plt.title(title)\n",
    "    plt.xlabel(x_label)\n",
    "    plt.ylabel(y_label)\n",
    "    plt.legend(handles=all_plots)\n",
    "    plt.figure(figsize=(20,10))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MCjpH1J00PmhVi8+7u2BmLCmNfANCCCGEeClkZOcwb98Vlh+JpFr5cqz9qCWv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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a8e3f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11aa400b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EiBG5vsuitmzZMsaOHYufnx+urq7Y2tqiq6tLaGgo6enpmJmZsW7dunxHU4Uo72TETwhR\n6Bo2bMiePXuYMGECNjY2hIeHExUVRbNmzfjkk0/w8vLKU0PPzMyMrVu34u7urn5lV3x8PK+//jpe\nXl7qVbWa/mM+cuRI1qxZQ+fOndHT0yMwMJD4+HjatGnDggUL+P7773PV5evYsSNTp06ldu3aREZG\ncv36dfWjYCcnJ/bu3cuoUaOoU6cOwcHBJCQk0LZtWxYuXMjGjRvzrcdXkEqVKvH7778zcuRIrK2t\niYyMJCIiAisrK9zd3fH29qZPnz4AHDt2LNe+8+bNY/HixbRo0YLY2FjCw8Np374927Zto1WrVvl+\nR7a2tnh7ezNhwgQaNGhAeHi4+vVx7777Lrt3736uOomzZs2iR48eGBoaEhYWVuxlU2rVqoWXlxcf\nf/wxTZo0ITIyktDQUGrWrMmwYcPw9vZ+avkdIcozHUUbkzSEEOI5dezYkdjYWH799Vf1HD2R20cf\nfcT+/fv56KOPmDBhgrbDEUKUQDLiJ4TQuuDgYLp3786kSZPybb9x4waxsbHo6+s/tchzWdenTx/e\nfPNN9eKQJz1+/Jjz588D2YWchRAiP5L4CSG0zsrKiuTkZI4cOcL69evVK1khu2zHxx9/DGTPcXta\nIeWyrn79+ly+fJmlS5fmKlUSHx/PjBkziI2NxcrKSuNFGkKI8kce9QohSoQ9e/Ywa9YsFEWhatWq\nWFpakpSUxK1bt1AUhaZNm7J+/XoqV66s7VC1JjAwkBEjRpCYmIiJiQlWVlZkZmZy69YtHj9+TPXq\n1fnxxx9p2rSptkMVQpRQ5Tbxu3XrFgsXLuTixYuYmJjg5ubGlClTCny9khCi6AUEBLB+/Xr++ecf\n7t27h7GxMVZWVvTt25e33noLQ0NDbYeodTExMWzatIkTJ05w9+5dMjMzsbCwoFu3bowaNYqaNWtq\nO0QhRAlWLhM/lUrFwIEDsbW15cMPPyQ2NpZPPvkEFxcXZs2ale8+Bb3cXAghhBCiJMpvIVy5rOPn\n5+fHrVu38PLyokKFCjRs2JAPP/yQxYsXF5j4Qf5fYGHy9/eXEgTllNz78kvuffkk9738Kq57X9CA\nVblc3NGgQQPWrl2rrtQP2a8gSkxM1GJUQgghhBBFq1wmfubm5uqXtEP2+zq3bNmSa5sQQgghRFlT\nLh/1/teiRYvw9/fP9WJ0IYQQQoiyplwnfoqi8NVXX7Ft2zZWrFhBo0aNtB2SEEIIIUSRKbeJX1ZW\nFp9++il79+7lu+++w8XFRdshCSGEEEIUqXKb+C1evJi9e/eycuVKunXrpu1whBBCCCGKXKlb3BEd\nHY2TkxMbN27Mtz0jI4ONGzfi5uZG8+bN6dGjB6tXryY9PV3d58qVK2zatInJkyfTtGlTYmJi1H+E\nEEIIIcqqUjXil5KSgoeHR653VP7XvHnz2L59O05OTnTv3p1Lly7h6elJYGAgnp6eABw8eBCAZcuW\nsWzZslz7X79+HX39UvW1CCGEEEJopNRkOJGRkXh4eHD9+vUC+1y6dInt27fj6urKihUr0NHRQVEU\nZs2axZ49ezh27BjdunVj5syZzJw5sxijF0IIIYTQvlKR+G3cuBFPT0/S0tJo3749Z8+ezbff1q1b\nAXB3d0dHRwfILsw8depUvL298fLyeqn5fP7+/i+8rybS0tKK/ByiZJJ7X37JvS+f5L6XX9q+96Ui\n8fvll1+wtLRk7ty5hIeHF5j4+fr6UrVqVezs7HJtr1WrFtbW1ly4cOGl4ijqV6zIK3zKL7n35Zfc\n+/JJ7nv5Ja9s08DcuXPZs2cPrVu3LrCPSqXi3r171K9fP992S0tLEhMTiYuLK6owhRBCCCFKtFKR\n+L366qvo6ek9tU9CQgIAFStWzLc9Z3tSUlLhBieEEEIIUUqUisRPExkZGQAYGhrm256z/fHjx8UW\nkxBCCCFESVJmEj9jY2OAXPX6nqRSqQAwMTEptpiEEEIIIXIoikKWomg1hlKxuEMTZmZm6OrqFljj\nL+cRb0GPgoUQQgghisqp4Ad8tc+f1EePON64sdbiKDOJn6GhIRYWFty5cyff9jt37mBubk6VKlWK\nOTIhhBBClFeB95JYtN+fvwNjqFvVhLGtzbUaT5l51Avg5ORETEwMYWFhubZHR0cTHh5OixYttBRZ\n+bJy5Urs7e3z/GnSpAnOzs6MHDkSb2/vXPvcuXMHe3t7mjVrxs2bNws89sSJE7G3ty8wwff392f+\n/Pm89tprtGnThpYtW+Lq6sqXX35JaGjoc13H2rVr6dq1K02bNuXVV18lJCQEe3t7Jk6cqO4zcuRI\n7O3tSUxMfK5jCyGEKNvuJ6Uxe5cffVac4GJEPJ+4OeAzrQvt61XQalxlZsQPYODAgXh7e/Pdd9+x\nfPlydHV1URSFb7/9FoBhw4ZpOcLypUePHrlqFWVkZBAXF8f+/fuZMWMGoaGhTJkyJdc+KpWKOXPm\nsHnzZnURbk1kZWWxYsUKfvzxR/T09HB2duaVV15BT0+PwMBAduzYwY4dO5g7dy5vvPHGM4938uRJ\nli1bRs2aNRk1ahRGRkbUrFkTd3d3GjRooPmXIIQQolxJVWWw7kQYP564SXpmFqM7WjO5eyOqVsh/\n8WlxK1OJX8eOHXFzc2Pfvn0MGzYMZ2dnLl++jK+vL66urnTt2lXbIZYrLi4uDB48OM/2sWPHMmjQ\nINatW8fQoUOxtLTM1X7hwgV27NjxXIm6p6cnP/zwA02bNuXbb7/FysoqV3tQUBDjxo1jzpw5NG3a\n9JnFM2/cuAHA5MmTcyWKHh4eGsckhBCi/MjMUth58Q5LDwVyP+kxbs1qM8PVAevq2h3h+68y9agX\nYMmSJUyePJn4+Hg2bdrEgwcPmDx5MkuXLn2uESRRdKytrenRoweZmZmcOnUqV5utrS0GBgYsXbqU\n+/fva3S84OBg1q1bR40aNfjpp5/yJH0AdnZ2LFy4kMzMTH7++ednHjNnFXjVqlU1ikEIIUT5dSIo\nhr6eJ5mx0w/LqibsnNCBNcOdSlzSB6VwxG/w4MH5jiLlMDAwYNKkSUyaNKkYoxLPq1atWsC/hbdz\nWFlZ0adPH1auXMmCBQvw9PR85rG8vLzIyMjgvffee2qi1rFjRwYNGkSbNm2eejx7e3v133N+jhYt\nWkS7du3o0aMHPXr0YM2aNU89xpkzZ1i7di1+fn5kZmZib2/PO++8Q+/evXP1i4iI4Ntvv+XixYsk\nJCRQs2ZNOnfuzKRJk6hRo8azLl0IIYQWBdxLZOG+AE4ExVDP3ITVb7fGrVntEj3QVOoSP1E23Lp1\nC/g3AXzSuHHj2LdvHwcPHuTIkSO4uLg89VhHjhwBsucUPsvixYuf2cfd3Z3z589z/vx53NzcaNCg\nwXO9V9HLy4vPP/8cc3Nz3NzcMDU1xcfHhw8//JApU6Ywfvx4AOLi4hgzZgzx8fG0b9+eRo0aERgY\nyLZt2zh37hx//PEHBgYGGp9XCCFE8YhOTOPbQ0F4XbxNRWMDPuvryMgOVhjpP/0tYyWBJH7FaOfF\nO+zwvV1ge2pqKqYnEgpsLw5D29RjiFPdIj3H1atXOXr0KMbGxnTu3DlPu6GhIfPnz2f48OHMmzeP\n9u3bY2Zmlu+x0tPTiYqKwsTEhHr16hVKfB4eHqxcuZLz58/Tt29fdeJZ0EriJ927d4958+bRoEED\ntm7dqh6BnDJlCmPGjGHFihV0794dOzs79u3bx927d1m4cCGNGzdWJ5fz5s1j69atnD59WualCiFE\nCZLyOIO1J0JZeyKUjKws3n3FBvfutlQxLRkLNzQhiZ8oMkeOHCEyMlL9OSMjg7CwMP7++28yMjL4\n5JNPMDfPv56Rk5MTb775Jtu2bWPZsmXMmTMn337x8fFkZWUVWJh7w4YN+Rb1Hj16NJUqVXqBq3q6\nP/74A5VKxeTJk3M9djY2Nmby5Mm888477N69m5kzZ5KVlQXA9evXcz1enjJlChMmTJBHvUIIUUJk\nZil4+d5m2eEgYpIe07d5HWa42mNVreTN4XsWSfyK0RCnuk8dTfP393+uR4olnY+PDz4+PurPBgYG\nVKlShVdeeYXhw4fTqVOnp+4/ffp0fHx82LZtG/369aN169Z5+uQU5C6ojt6GDRuIjo7Os33QoEFF\nkvhdu3YNyJ7jFxwcnKstNTUVgICAAABcXV1ZvXo1W7duZe/evXTp0oXOnTvTpUsXSfqEEKIEUBSF\n40ExLNoXQGB0Ek5WVflhhBNOVqV34Z8kfqLILFq06KkLcZ7FzMyMOXPmMGnSJD7//HN2796dp4+h\noSE1atQgJiaG6OjoPHMGT5w4kevzxIkTcyWjhS3n1YC//fZbgX0ePnwIZM9v/P333/n+++85dOgQ\ne/fuZe/evRgYGDB48GA+++wzDA1Lz+MDIYQoS27cTWTRfn9OBj/Aqpop3w9vTe+mJXvhhiYk8RMl\nmouLC7169eLQoUOsXbs23z49evTgt99+4/Dhw4wYMaKYI8zN1NQUyH7Mrcmcw3r16rFw4ULefvtt\nMjMzOXnyJLt27WL79u1UrFiRjz/+uKhDFkII8YR7D9NYdiiQ3y/dobKJAV+81pgR7a0w1C8bFfDK\nxlWIMu2zzz6jYsWK/Pjjj0RERORpHzZsGHp6evzwww/ExcU99Vg58+qKSs5cvatXr+ZpCw8P5+uv\nv+bo0aNA9qPwL7/8kuTkZPT09GjRogXu7u5s3boVgIsXLxZprEIIIf6V/DiDbw8F0nXpMbyv3OX9\nVxtwfHo33u1kU2aSPpDET5QCtWrVYvr06ahUKkJCQvK0N27cmIkTJxITE8OoUaMIDAzM0ycxMZGl\nS5dy/PhxAHR1i+ZHv3///ujp6bF8+XJiYmLU2zMyMpg/fz7r169X1y4MDQ1l27ZtbNu2LdcxchbE\nWFhYFEmMQggh/pWRmcXWcxF0/eZvPI+G0LNxbXymdeETN0cqm5a9klryqFeUCsOGDeOPP/4ocBRs\n0qRJGBkZsXz5cvr370/r1q1p3LgxRkZGhIeHc/r0adLS0qhZsyaffvppkSVV1tbWfPzxxyxevJjX\nXnuN7t27U7lyZU6cOMHNmzfp1q0b/fv3B2Do0KHs2LGDpUuXcvToUZycnIiNjeXAgQOYmpoybty4\nIolRCCFE9sKNvwNjWLjPn+D7ybS1rsq6UU60ql96F25oQhI/USro6Ogwf/58Bg4cqH6d2n/b33//\nfXr16sXOnTs5efIkf/75J6mpqVSrVo1XX30VFxcX3NzcinzBxDvvvEODBg1Yv349hw4dIisri3r1\n6jFr1iyGDx+Ovn72r13lypXZsmUL33//PceOHePatWuYmZnRuXNn3N3dadSoUZHGKYQQ5dW1yIcs\n2u/P6ZBYrKuZ8sMIJ1yb1Cr1Czc0oaMoiqLtIEqDixcv4uTkVKTnKGvlXITm5N6XX3Lvyye579oR\n9fAR3xwMZPflSKqYGPBhj0a87Vy8CzeK694XlLfIiJ8QQgghyrSktHR+PB7KupOhKMC4zg2Y2NWW\nyiZlbw7fs0jiJ4QQQogyKSMzi20XbrP8cBCxKSoGtLRgei976pmbajs0rZHETwghhBBliqIo+Pjf\nZ9F+f27GpNDOxpz1bo60qFdF26FpnSR+QgghhCgzrt55yFf7bnA2NI4G1SuwdqQTPRuXj4UbmpDE\nTwghhBClXmTCI5b+/8IN8wqGzBvQhLfa1cdAT0oWP0kSPyGEEEKUWolp6Xz/901+PhUGwISuDZnQ\ntSGVjMvfwg1NSOInhBBCiFInPTOLbedvsfxIMHEpKga3smSaqz2WVUy0HVqJJomfEEIIIUoNRVE4\nfCOaxfsDCH2QQvsG5nzq1phmdStrO7RSQRI/IYQQQpQK/9xO4Kt9/pwPi6NhjQr8NKoNPRxrysKN\n5yCJnxBCCCFKtDvxqXxzMBDvK3epVsGQBQOb8mbbeujLwo3nJomfEEIIIUqkh4/SWfN3CBtOh6MD\nuHez5YMuDagoCzdemCR+QgghhChRVBlZ/HoughU+wSQ8Smdwq7pM62WHhSzceGmS+AkhhBCiRFAU\nhYPXo/n6QABhD1Lo2LAan7g50tRSFm4UFnk4LgrdypUrsbe3Z9euXU/tt2vXLuzt7bG3t+fTTz99\nat8NGzZ3EpuhAAAgAElEQVSo+547d069feTIkertOX8aN26Mk5MTAwYMYMWKFSQmJuY53rlz5/Ls\nZ29vT/PmzXFxcWH+/PnExcW92BcghBDiuV2+Fc/QH88wfstF9HV12DCmLVvfc5akr5DJiJ8oEY4e\nPUpmZiZ6enr5th88ePCp+48aNYpKlSoBkJGRQUJCAr6+vqxZs4bdu3ezZcsW6tatm2c/BwcHXFxc\ngOz/03z06BFBQUFs3bqV48ePs3PnTipXlv/oCCFEUbkdl8qSg4Hs/ecu1c2MWDioGUPb1JWFG0VE\nEj+hdTVq1CAmJgZfX1+cnZ3ztEdHR3PlyhVMTU1JTU3N9xijR4/Ok9hlZWWxcuVK1qxZw/jx49mz\nZw/6+rl/5B0dHfHw8MhzvJ9//pklS5awceNGPvzww5e4OiGEEPl5mJrO6r9D2Hg6HF1dmNzdlnFd\nGmJmJKlJUZJ0Wmhdjx49ADh8+HC+7QcPHkRHR4euXbs+13F1dXX58MMP6dy5M8HBwXh7e2u875Ah\nQwC4cOHCc51TCCHE06kyslh/KowuS4+x7mQoA1pa8Pf0bkztZS9JXzGQxE9onY2NDY0aNeLIkSP5\nth88eJDWrVtTvXr1Fzr+u+++C8C+ffs03idnZNDQ0PCFzimEECI3RVHYfzWKnt8dZ96fN2hqUZm/\nPF7lmzdaULuysbbDKzck8RMlQq9evYiKisLPzy/X9piYGC5dukTv3r1f+NitW7dGV1eXS5cuabzP\nzp07AXB1dX3h8wohhMh26VY8r/9whglbL2Gkr8vGd9qyeWw7GltU0nZo5Y6MqRanK9vg8pYCm+un\npsDZCsUYUD5ajYCWbxX7aXv16sXq1as5cuQIzZs3V28/dOgQiqLQq1cvfvrppxc6tpGREVWqVCEu\nLo7k5GTMzMzUbf7+/qxcuVL9+fHjxwQFBXHixAkGDhzI0KFDX/yihBCinLsVm8rXBwP4yy+KGhWN\nWDy4Ga87ycINbZLET5QIDg4OWFlZcfjwYaZOnarenvOYt1atWi91/JxHtikpKbkSv4CAAAICAvL0\n19XVxcjIiPj4eMzNzV/q3EIIUd4kpKpYdTSETWfC0dfV5cMejRjXuQEVZA6f1skdKE4t33rqaNot\nf38cHR2LMaCSpVevXqxbt46QkBBsbW2Ji4vD19eXWbNmvfSxU1JSADA1Nc21fdCgQSxevFj9+fHj\nx9y7dw8vLy/WrVuHr68vu3fvxsjI6KVjEEKIsu5xRiabz0Sw8mgIiWnpDHWqx9RedtSqJHP4SgoZ\naxUlRq9evYB/V/cePnyYrKysl55n9/DhQ5KSkqhSpQoVK1Z8al8jIyOsrKyYPn06rq6u3Lx5kz17\n9rzU+YUQoqxTFIU//e7i8u1xFvzlT4t6Vdg3+VW+fr25JH0ljCR+osRo3rw5FhYW6sTv0KFDtGzZ\n8qUf8168eBGAVq1aPdd+OTUF83sULIQQItvFiDgGf/8/3H+9TAVDfTa9245f3m2HYx1ZuFESyaNe\nUaL07NmTTZs2ERAQwLlz55g+ffpLH3Pr1q0AvPbaa8+1X86r3p41SiiEEOVR+IMUvj4QwP5r96hZ\n0YglQ5ozxKkuero62g5NPIUkfqJE6dWrF5s2bWLOnDlkZGS8VBkXRVFYt24dp06dwsHBgT59+mi8\nb3x8PF5eXgB07979hWMQQoiyJj5FhefRYLacjcBAT5cpLna839kGU0NJKUoDuUuiyKxdu5bdu3fn\n2zZ8+PB8t7du3ZoaNWpw5coVWrVqRe3atTU616ZNm3K9qzc+Pp4LFy4QGhqKpaUlq1atyvc9wP8t\n56IoCvfv3+fgwYMkJibyxhtv0LJlS41iEEKIsiwtPZNfzoSz8mgIKY8zGNa2HlNc7Kgpc/hKFUn8\nRJEJCwsjLCws37YePXqoE7Un6erq4uLiwrZt255rUccvv/yi/ruOjg5mZmbY2Njw0UcfMXLkyFwl\nXJ7033Iuenp6VKxYEUdHRwYMGMCgQYM0jkEIIcoiRVHY6xfFkgMB3Il/RFf7Gszu44h9bZkGUxrp\nKIqiaDuI0uDixYs4OTkV6Tn8y3k5l/JM7n35Jfe+fCot9/18WBxf7fPnn9sJONapxCduDrzaqIa2\nwyrViuveF5S3yIifEEIIIXIJjUnm6wMBHLweTe1Kxix9owWDWlnKwo0yQBI/IYQQQgAQl6LC0yd7\n4YaRvi7Te9kxtlMDTAzzzpEWpZMkfkIIIUQ5l5aeycb/hbP6aAgpqgzealefj1zsqFFR3lpU1kji\nJ4QQQpRTWVkKe/3usuRAIJEJj+juUJPZfRxoVEsWbpRVkvgJIYQQ5dDZ0FgW7vPH785DmlhU4pvX\nm9PRtrq2wxJFTBI/IYQQohy5GZPM4v0BHL4RTZ3Kxnw7tAUDW1qiKws3ygVJ/IQQQohyIDb5MSt8\ngtl67hYmBnp87GrP2E42GBvIwo3yRBI/IYQQogxLS89k/ekw1hy7yaP0TN5uV58PXRpR3UwWbpRH\nkvj9P5VKxeDBg/nkk0/o2LGjtsMRQgghXkpWloL3P5F8cyCQuw/TcHGsxaw+DtjWzP9NRqJ8kMQP\nePz4MdOmTSM4OFjboQghhBAv7X83H7Bwnz/XIhNpZlmZZUNb0qFhNW2HJUqAcp/4hYSEMG3aNOTN\ndUIIIUq7kPtJLN4fwBH/+1hWMWH5sJb0b2EhCzeEWrlP/M6fP4+zszNTpkyhZcuW2g5HCCGEeG4P\nkh/z3eEgfrtwG1MDPWb2duCdV6xl4YbIo9wnfm+//ba2QxBCCCFeyCNV9sKN7/++SVp6JiOc6zO5\nRyOqycINUYByn/iJwrdr1y5mz56Nu7s7Hh4eBfazt7fH0tKSo0ePqj//l4GBARUqVKBRo0b069eP\nN954A11d3XzP9yyrV6/GxcUFgDNnzjBmzJh8+1WvXp3Tp08/83hCCKEtWVkKuy9HsvRQIFEP0+jV\nuBYz+zjQsIYs3BBPJ4mfKFEqVqzI6NGj1Z/T0tJ48OABp0+f5osvvuDAgQP8+OOPGBoa5tm3Xbt2\ntGvXrsBj29jYqP8eEBAAwLBhw6hRo0aufqampi97GUIIUWROhzzgq7/8uRGVSIu6lVk+rCXODWTh\nhtCMJH6iRKlUqVK+o4TJyclMnTqV48ePs2DBAubNm5enT7t27Z46wvikwMBAAGbMmIGZmfwfshCi\n5AuKTmLRPn+OBcZgWcWEFW+2pF9zWbghno/us7sIoX1mZmYsXbqUGjVq8PvvvxMREfFSxwsMDMTS\n0lKSPiFEiXc/KY3Zu67Se/kJfCPimd3HAZ9pXRggr1kTL6DUJn7R0dE4OTmxcePGfNszMjLYuHEj\nbm5uNG/enB49erB69WrS09OLN1BRaCpVqsQbb7xBZmYmBw4ceOHjZGZmEhISgp2dXSFGJ4QQhStV\nlYGnTzBdv/kbL9/bjOpgzfGPu/FBl4ayWle8sFL5qDclJQUPDw+Sk5ML7DNv3jy2b9+Ok5MT3bt3\n59KlS3h6ehIYGIinp2cxRisKU5s2bQC4dOnSCx8jLCwMlUqFkZERH3/8MWfPniUxMZHGjRszYcIE\nOnfuXFjhCiHEc8vMUth56Q7LDgUSnfiY3k1qM7OPAzbVK2g7NFEGlLrELzIyEg8PD65fv15gn0uX\nLrF9+3ZcXV1ZsWIFOjo6KIrCrFmz2LNnD8eOHaNbt2559suZ91VU/rj5B7uDdxfYnpqaimmEdhcW\nDGo0iP4N+xfKsc6fP8/KlSsL5Vg5atWqBUBMTMxznW/QoEHUrVsX+Pc+HzhwgNatW9OvXz+io6M5\ncuQI48aNY8GCBbz++uuFGrcQQmjiZHAMX/3lT8C9JFrUq8Kqt1vT1tpc22GJMqRUJX4bN27E09OT\ntLQ02rdvz9mzZ/Ptt3XrVgDc3d3R0cme/6Cjo8PUqVPx9vbGy8sr38TvWfz9/V88eODug7ukpqYW\n2J6VlfXU9uJw9+5d/FUveZ137wLZidj58+ef2lelUuX6Xv/7+b+ioqIAiIuLU/fT5Hy1atWiWbNm\nQPaIX+3atenZsydDhgxR93F1dWXmzJnMnTsXCwsLqlat+qxLLTRpaWkv/fMlSie59+XTf+97eLyK\nny/G4hv5iNpm+szqXJPO1hXQeRSNv3+0FiMVhU3bv/OlKvH75ZdfsLS0ZO7cuYSHhxeY+Pn6+lK1\natU8c7hq1aqFtbU1Fy5ceKHzOzo6vtB+6v1xZDzjC2z39/d/6XOUBDk/0JrU8TM0NMx1zf/9XJAq\nVaqo+2l6vhyOjo64u7vnuz0gIIDVq1dz69YtOnbs+MxjFZaycu/F85N7Xz7l3Pf7iWl8eziIHb53\nMDPS51M3R0Z1tMJIX+bwlVXF9Tt/8eLFfLeXqsRv7ty5dOzYET09PcLDw/Pto1KpuHfvHi1atMi3\n3dLSkrCwMOLi4jA3l+Hz0iYyMhKAevXqFcnxGzduDMCdO3eK5PhCCAGQlp7F8iNBrD0RSnpmFmM6\n2uDR3ZaqFfLWKBWiMJWqxO/VV199Zp+EhAQguxBwfnK2JyUlSeJXCvn6+gLQqlWrFz5GSEgI9+/f\np0OHDuqpADkeP34MgJGRvO5ICFH4FEXhT78o5uy5TdyjTNya1WZmbwesqsnCDVE8SlXip4mMjAyA\nfN/s8OT2nH/gRemRnJyMt7c3+vr69OnT54WPM2fOHHx9fdm1axdNmjTJ1ZYzNN60adOXilUIIf4r\n6uEjPt9zjSP+92lUzZB1Y9rhZCUDEKJ4ldo6fgUxNjYGKLBen0qlAsDExKTYYhIv79GjR8ycOZO4\nuDjefPNN6tSp88LH6t27NwDLly9X/48CZCd9O3bsoH79+hqNLgshhCayshQ2n42g57cnOBXygM/6\nOvKdm6UkfUIrytyIn5mZGbq6ugXW+EtKSgIKfhQstCsxMTFXSZacOZunT58mNjaWTp06MXPmzJc6\nx5tvvsnBgwc5ceIEAwcOpFOnTkRFReHj44OBgQHLli1DX7/M/WoIIbTgZkwys3de5Xx4HJ1sq7Nw\nUDPqVzOVldxCa8rcv26GhoZYWFgUODn/zp07mJubU6VKlWKOTGgiKSmJVatWqT/r6+tTuXJlHB0d\nee211+jfvz96ei+32s3AwID169fz448/8ueff7JlyxbMzMzo2bMnkydPxsbG5mUvQwhRzqVnZrH2\nRCgrfIIx1tdlyevNecOpbp55xUIUtzKX+AE4OTnh7e1NWFhYrn/Eo6OjCQ8Pf6EafkJzgwcPZvDg\nwc/s99+C2S9aQFvT8z3J0NAQDw8Pjcq/CCHE8/C7k8CM3/0IuJdE32Z1mNO/MTUrGms7LCGAMjjH\nD2DgwIEAfPfdd2RlZQHZK6m+/fZbAIYNG6a12IQQQpRNj1SZfPXXDQauPk18qoq1I51YPby1JH2i\nRCmTI34dO3bEzc2Nffv2MWzYMJydnbl8+TK+vr64urrStWtXbYcohBCiDDkd8oDZu65yKy6Vt9rV\nZ7abA5WMDbQdlhB5lMnED2DJkiXY2tqye/duNm3ahIWFBZMnT+b999+XORZCCCEKxcPUdBb8dQOv\ni3ewqV6B38a1p32DatoOS4gCldrE71nzugwMDJg0aRKTJk0qxqiEEEKUB4qisP/aPb7wvk58qooJ\nXRvyYY9GGBvIq9ZEyVZqEz8hhBBCG6IT0/h8zzUO3YimqWUlNr7TlqaWlbUdlhAakcRPCCGE0EBW\nlsJvF26zaJ8/qswsZvVx4L1ONujrlcl1kqKMksRPCCGEeIawBynM2unHubA4OjSoxqLBzbCuLu/X\nFaWPJH5CCCFEAdIzs/jpZBjLjwRhqK/L4sHNGNa2niwSFKWWJH5CCCFEPq5FPmTmTj+u303EtUkt\n5g1oSq1KUpNPlG6S+AkhhBBPSEvP5LsjQfx0MgzzCob8MKI1vZvW0XZYQhQKSfyEEEKI/3fmZiyz\nd/kRHpvKsDb1+MTNkcqmUohZlB2S+AkhhCj3Hj5KZ9E+f367cJv65qb8+p4zHW2razssIQqdJH5C\nCCHKtQPX7vGF9zUeJD/mg84N+MjFDhNDKcQsyiZJ/IQQQpRL95PSmON9nf3X7uFYpxI/j25Ls7pS\niFmUbZL4CSGEKFcURWGH722++suftIwsPna1Z1znBhhIIWZRDkjiJ4QQotyIiE1h9q6r/O9mLO1s\nzFk8uBkNaphpOywhio0kfkIIIcq8jMws1p8O49vDQRjo6vLVoKa81bY+urpSiFkUowwVuqokrYYg\niZ8QQogy7frdh8zaeZWrkQ9xcazFgoFNqV1ZCjGLYpSVBdd3wZG5WCu60OIfrYUiiZ8QQogyKS09\nE0+fYH48EUpVUwNWv90at2a15XVroniFn4JDn8Hdy1C7GVGNJ2GtxXAk8RNCCFHmnAuNZfauq4Q+\nSOF1p7p81teRKqaG2g5LlCcxQXBkDgTug0qWMPAHaD6MR4GBWg1LEj8hhBBlRmJaOl/vD2DruVvU\nrWrC5rHteLVRDW2HJcqT5Pvw92K4uBEMTKHHHGg/AQxMtB0ZIImfEEKIMuLwjWg+33ON+0lpvNfJ\nhqm97DA1lH/mRDFRpcKZ1XB6OWSkQdux0GUmVChZb4CR3wghhBClWkzSY77ce52//KJwqF2RH0Y6\n0bJeFW2HJcqLrEz4ZxscXQBJUeDwGrjMheq22o4sX5L4CSGEKJUURWHnpUjm/3mDR6pMpvW044Mu\nDTHUl0LMopiE+MDhLyD6Gli2gdc3gFUHbUf1VJL4CSGEKHVux6Xyye6rnAx+QBurqiwe0gzbmhW1\nHZYoL+5dg8Ofw82jUNU6O+FrMghKwYrx5078Tpw4wa5du/D39ycxMZEzZ87wxx9/cOvWLcaOHYuJ\nScmYvCiEEKLsycxS2HA6jGWHgtDVgfkDmjDc2UoKMYvikXgXjn4FV7aCcWVwXQht3wN9I21HprHn\nSvy++OILvLy8UBQFPT09srKyALh27Rq//PILJ0+eZP369VSoUKFIghVCCFF+BdxLZObOq/xzO4Hu\nDjVZMLApFlVksEEUg8dJcHoF/G8VKJnQ0R1enQYmVbUd2XPTeCLEb7/9xo4dO+jVqxeHDh1i/Pjx\n6rZJkyYxZMgQ/vnnHzZs2FAkgQohhCifHmdksuxQIK95nuJ2XCor3mzJz6PbSNInil5mBlz4CTxb\nwYlvwKEvuF+AXgtKZdIHzzHi99tvv2Fvb8+KFSsAclU+r1y5Ml999RXBwcHs378fd3f3wo9UCCFE\nueMbHsfMnX7cjElhcCtLPnutMeYVpBCzKGKKAoH7swswPwgCq1fg7e1g6aTtyF6axolfWFgYI0eO\nfGqftm3bsnXr1pcOSgghRPmW/DiDJQcC2Hw2AovKJmx8py1d7WtqOyxRHkRehEOfQ8RpqNYI3twG\n9n1KxcINTWic+BkbGxMbG/vUPvfv38fYWF58LYQQ4sUdDYjm093XuJeYxugO1nzsak8FIylCIYpY\nfAT4zINrv4Npdei7DFqPBj0DbUdWqDT+TXJycuLw4cNMnjyZOnXq5GkPDw/nyJEjdOhQsuvXCCGE\nKJlikx8z788beF+5S6OaZvw+viNOVqVzHpUoRR7Fw8llcO5H0NGDV6fDKx+CcSVtR1YkNE78Jk2a\nxKlTp3jjjTcYO3YsYWFhAJw/f56rV6+ybt060tPT+eCDD4osWCGEEGWPoijsuRLJvL03SH6cwUcu\njZjQtSFG+nraDk2UZRmq7IUbJ5bAowRoORy6fQKVLbUdWZHSOPFr0qQJK1euZNasWXz99dfq7aNH\nj0ZRFMzMzFi6dCktWrQokkCFEEKUPXfiU/l09zWOB8XQqn4Vvh7SHLtaUohZFCFFgeu7wWcuxIdD\nw+7Qcx7UbqbtyIrFc02a6NKlC8eOHcPHx4fr16+TlJSEqakp9vb29OzZk4oV5ZdVCCHEs2VmKfxy\nJpxvDgYC8GW/xozsYI2eFGIWRenWWTj0Gdy5ADWbwIidYOui7aiKlcaJ35QpU2jTpg3Dhw+nb9++\n9O3btyjjEkIIUUYFRScxc6cfl28l0MWuBl8NakrdqqbaDkuUZQ9CskuzBPwJFevAgNXQ4i3QLX/T\nCTRO/I4dO0bVqjLJVgghxItRZWSx5u8QVh8LwcxIn++GtWBgS8tcdWGFKFQpD+D41+C7HvSNodtn\n0GEiGJbfN4xpnPiZm5uTnJxclLEIIYQooy7dimfWTj+CopMZ0NKCL15rTDWz0vN+U1HKpD+Cs9/D\nqe9AlQJOo6HrbDCTWpAaJ35z5sxh6tSpLFmyhF69elG3bt0Ca/aZmZkVWoBCCCFKr5THGXxzMJBN\nZ8KpU8mY9WPa0N2hlrbDEmVVVhb4bYejCyDxDtj1gZ5zoYa9tiMrMTRO/ObOnYuiKGzYsOGp7+PV\n0dHhxo0bhRKcEEKI0ut4UAyf7LrK3YePGNneihm9HTCTQsyiqIT+nf3GjXt+YNEKBv8I1p20HVWJ\no/FvoKWlJZaWZbu2jRBCiJcXl6JiwZ832HU5koY1KuD1QQfaWJtrOyxRVt33h8NfQPAhqFwfhvwM\nTQaDrq62IyuRNE78Nm/eXJRxCCGEKOUUReGPf+4yb+8NHj5KZ3J3WyZ1t5VCzKJoJN2DYwvh8mYw\nrAg950O7cWAgr459mhcac09PTyc0NJS0tDSqVKmChYUFBgZl6112QgghNHc34RGf7bnG0YD7tKhX\nha1DmuFQu2y+8kpo2eNk+N/K7D+ZKnAeD50/BlMZVdbEcyV+iYmJLFmyhL1796JSqdTbTU1NcXNz\n4+OPP6ZSJflFF0KI8iIrS2HLuQi+3h9AlgKfv9aYMR2lELMoApkZcGVL9ihfcjQ0Hgguc8C8gbYj\nK1U0TvySk5N56623uHnzJrVq1aJZs2bUrFmThw8fcunSJby8vLhy5Qo7duzAxMSkKGMWQghRAoTc\nT2bWTj98I+J5tVF1Fg5qRj1zKcQsCpmiQPBhOPw5xARAPWcYtgXqtdN2ZKWSxonf999/z82bN3n/\n/ffx8PDA0NBQ3aYoCitWrOCHH37gp59+wsPDo0iCFUIIoX2qjCx+PH6TlUdDMDHUY+kbLRjSWgox\niyJw90p2whd2Intkb+hmcOwH8rP2wjRO/A4dOkTLli2ZNm1anjYdHR0++ugjzp49y759+yTxE0KI\nMurK7QRm7fQj4F4SrzWvw5x+TahRUQoxi0KWcDu7Fp/fb2BiDn2WgNM7oG/47H3FU2mc+EVFReHi\n8vQXGbdq1Ypff/31pYMSQghRsqSqMlh2KIgNp8OoWdGYdaPa0LOxFGIWhSztYfbbNs6syf7caUr2\nH+PK2o2rDNE48atcuTK3b99+ap9bt27JWzuEEKKMORkcwye7r3I77hHDneszs48DlYylkoMoRJnp\n2e/TPf41pMZC8zeh+2dQpZ62IytzNE78OnTowP79+zl9+jSvvPJKnvbjx49z7Ngx3NzcCjVAIYQQ\n2pGQqmL+n/7svHSHBtUrsH1ce5wbVNN2WKIsURTw3wtHvoS4m2DTObsen0VLbUdWZmmc+Lm7u+Pj\n48MHH3xAv379cHJyomLFikRHR3Px4kUOHz6MiYkJkyZNKsp4hRBCFDFFUfjrahRf/nGd+NR0JnVr\niEf3RhgbSCFmUYhuX4BDn8Hts1DDAd72gkY9ZeFGEdM48bO2tmbjxo3MmDGD3bt3s2fPHiD7PxAA\nVlZWLF68GBsbm6KJVAghRJG79zCNz/Zc44h/NM0sK/PLu840tpD6rKIQxYXCkblwYw+Y1YJ+K6Dl\nCNCT9zgXh+f6llu0aMH+/fu5dOkSAQEBJCcnU6FCBRwdHXFycipVS/lVKhXz58/nwIEDGBoaMmbM\nGN5//31thyWEEFqRlaWw7cItFu8LID0ri0/cHHj3FRv09eR9p6KQpMbBiW/g/DrQM4Cus6GDOxjJ\n2oDipHHit2rVKpydnWnbti1t2rShTZs2efocO3aMo0ePMn/+/EINsigsWbKEK1eusGHDBu7du8eM\nGTOwsLCgb9++2g5NCCGKVWhMMrN2XeV8WBwdG1Zj0eBmWFWroO2wRFmRngbn18KJpaBKglYjodsn\nULG2tiMrlzT+X7lVq1Zx/vz5p/Y5fvw43t7eLx1UUUtNTWXHjh3Mnj2bpk2b4uLiwnvvvceWLVu0\nHZoQQhSb9MwsVh8LofeKkwREJbJkSHO2vucsSZ8oHFlZ4OcFq9pmF2Gu7wwT/gf9PSXp06ICR/y2\nbt3K77//nmvbtm3bOHLkSL7909PTCQ0NpW7duoUbYREICAhApVLh5OSk3ubk5MSaNWvIzMxET08m\nMAshyrardx4yY6cf/lGJ9Glam7n9m1CzkrG2wxJlRfip7IUbdy9D7WYwwBsadNV2VIKnJH4DBgxg\n9erVxMXFAdlv53jw4AEPHjzI/0D6+tSpU4dPP/20aCItRDExMVSuXBkjo3+rzVevXp309HRiY2Op\nWbOmFqMTQoii80iVyfIjQaw7GUp1MyN+GOFE76Yy+iIKSUwgHJ4DQfuhkiUM+hGaDQVdmStaUhSY\n+JmZmfG///1P/dnBwQF3d3fc3d2LJbCi9OjRo1zvGgbUn1UqlTZCEkKIIve/kAfM3n2ViNhU3mpX\nj1l9HKlsIoWYRSFIvg9/L4KLm8CwAvSYA+0ngIGJtiMT/6Hx4o5ffvkFS0vLooyl2BgZGeVJ8HI+\nm5jID6kQomx5mJrOwn3+bPe9jXU1U35935mODatrOyxRFqhS4cxqOL0cMtKg7VjoMhMqyM9XSaVx\n4teuXTsAUlJSqFDh34m/J0+exNfXF0tLS/r374+xccmfI1KrVi0SExNRqVTqkb6YmBgMDQ2pXFne\nByiEKDv2X43iiz+uE5ei4oMuDZjiYieFmMXLy8qEf7bB0QWQFAWO/aDHl1DdVtuRiWfQOPFLT0/n\nyy+/xNvbm7Nnz2JmZsaWLVv46quvUBQFHR0dNm/ezJYtW0p88uTo6IiBgQGXL1/G2dkZgIsXL9Kk\nSSvmPdkAACAASURBVBP09aWApBCi9ItOTOML72scvB5N4zqV2DCmLU0tS/Z/m0UpEXIEDn0B96+D\nZRt4fQNYddB2VEJDGs+23LBhAzt37qRRo0Y8fvyY9PR0Vq5ciampKV9//TXu7u6EhITwww8/FGW8\nREdH4+TkxMaNG/Ntz8jIYOPGjbi5udG8eXN69OjB6tWrSU9PV/cxMTFh4MCBzJ07Fz8/P3x8fFi/\nfj2jRo0q0tiFEKKoKYrCb+dv4fLtcf4OjGFmbwe83V+RpE+8vHvXYPMg2DIE0lPgjY3w3hFJ+koZ\njYe39u7dS+PGjfHy8kJPT4+TJ0/y8OFDRowYwYABAwC4fv06hw8fZubMmUUSbEpKCh4eHiQnJxfY\nZ968eWzfvh0nJye6d+/OpUuX8PT0JDAwEE9PT3W/2bNn8+WXXzJ69GgqVKjApEmTcHNzK5K4hRCi\nOIQ/SGH2rqucCY3F2cacxUOaY1NdavKJl/QwEo59xf+xd99RUd3pH8ff9K6ACAqiiIhYUbBXbLGk\nKWpsMaZYYzTFZGP6muiaRGNvMRpLLLFs7D32HlERC0UpUhREQfoMDHN/f8zGXX9KggpeGJ7XOTln\nvXORz9nB4bnfe7/PQ+hasK4MPaYZnuUzt/r7rxVlTrELv/j4eIYNG3a/x93Ro0cxMTEhKCjo/jk+\nPj4cP368xEMCJCUlMX78eK5cuVLkOefPn2f9+vX06NGDOXPmYGJigqIoTJo0iS1btnDo0CE6d+4M\nGFb9vvvuO7777rtSySuEEM+KrlDP0uOxzNofhaWZKdOCGzOwuSempuVnjKYog7RZcHy2YfOGUght\n34EOE8HGSe1k4ikUu/Czs7NDo9Hc//PRo0extLR8YHRbSkoKzs7OJZsQWLFiBXPnzkWj0dC6dWtO\nnz79yPPWrFkDwDvvvHN/brCJiQkffPABW7duZePGjfcLvycRHh7+xF9bHBqNptS/hyib5L2vuJ72\nvY9O0zL7RCrX0/Jp42nLuNYuVLHNITIyogRTipJWpv/N63U4xmyl6uWlmGvTyaj5HKmNx1Bg7w5x\nyUCy2gnLNbXf+2IXfnXr1mX//v28+eabhIaGcuPGDYKCgu7v4g0LC2PPnj20b9++xEP+2Upm8uTJ\nxMXFFVn4hYSE4OTkhK+v7wPH3dzc8PLy4uzZs0+Vo379+k/19X8nPDy81L+HKJvkva+4nvS91xQU\nMufANZYcvYmTrSULhwbQq1G1+xe9omwrk//mFQUid8PBL+HuNajVHp77msoegcgToiXnWb33586d\ne+TxYhd+I0eOZOzYsXTt2hUAU1NTRowYAcCcOXP48ccfsbS0ZOzYsSUQ90GTJ0+mbdu2mJmZERcX\n98hz8vPzSU5Oxt/f/5Gve3h4EBsbS1paWqmsSgohxLNyOuYun/x2idg7ObzSvAaf9q6Po63l33+h\nEEVJOgf7voAbJ6BKXRi0Dur1ArmQMDrFLvzat2/P8uXLWbVqFYqiMGDAgPu3eZ2cnGjfvj3jx4+n\nUaNGJR6yQ4cOf3vOvXv3AHBwcHjk638ez8rKksJPCFEuZWoKmLYrgnV/xFPT2ZY1I1rRzkca5Yqn\nkH4DDnwNlzeBXVV4/gcIGA5mMtHFWD1W07rmzZs/8Ezfn1577TXVW6HodDqAh0ax/enP41qt9pll\nEkKIkrLvSjJfbL1MapaWkR1q80H3ethYSiNm8YTy0uHoDPhjCZiYQcePoN27YPXoxRNhPIymW/Gf\nzxr+b7++/yUj2YQQ5dHtLA3/3HaFXZeS8avmwJJhzfH3dFQ7liivdFo4uxSOfA+aDGg6FDp/CpWN\nYySr+HtGU/jZ29tjampaZI+/rKwsoOhbwUIIUZYoisLGc4lM3RlOXkEhH/Wox6iO3liYFbvvvhD/\npShwZTMcmAzpcVCnC3T/Gqo1VjuZeMaMpvCztLTE3d2dxMTER76emJiIs7Mzjo5ypSyEKNvi7+by\n6eZLHL9+hxZeTnzbrwl1qtqrHUuUVzdOwb7PISkE3BrBq7+BT1e1UwmVGE3hBxAYGMjWrVuJjY2l\ndu3a94+npKQQFxf3VD38hBCitOkK9Sw/EccP+yMxNzXlmz6NGNqypjRiFk/mznX4/SuI2AEO1eHl\nBeA/GEzl2dCKzKjuGfTp0weAWbNmodfrAcPtkpkzZwIwcOBA1bIJIcRfCb+VSfCik0zdFU57Hxf2\nf9CRYa1rSdEnHl/OHdj1ESxsBTGHofPnMP48NHtVij7x5Ct+2dnZaDQaHB0dMTcvGwuHbdu2pXfv\n3uzatYuBAwfSqlUrLly4QEhICD169HhgvJwQQpQF+YV6ZuyNZPGRaCrbWDBvcDNeaFJdGjGLx1eQ\nB6cXGsas5edA4HAI+gTsXdVOJsqQx6rYdDodP/30E5s2beLmzZv3j9esWZO+ffsyYsQI1YvA77//\nHh8fHzZv3szKlStxd3dnwoQJjBw5Uj5IhRBlytm4NN7flkRiZgHBAR588XwDnOykEbN4THo9hK2H\ng1MgMxHq9YZuk6Gq799/rahwil2l5efn89ZbbxESEoKVlRV+fn64urqSkZFBREQEc+bM4cSJE6xY\nsQIzs9JbSg4ODiY4OLjI1y0sLBg3bhzjxo0rtQxCCPGkFEXhdEwai49EcyQqFTd7c1a92ZKOvlXV\njibKo5jDhokbyWHg3gyCfwSvkh+dKoxHsQu/5cuXc/bsWV588UU++eSTB6ZfZGdnM3XqVLZs2cIv\nv/zC66+/XhpZhRCi3NLrFfZdTWHRkWguJtzDxd6Sj3rUo00VLQFS9InHlXIV9n8J1/dD5ZrQbxk0\nDAZTo3p0X5SCYhd+27Ztw9fXl++++w7T//eDZW9vz5QpU7hy5QqbN2+Wwk8IIf5Dqytky4Ukfjwa\nQ0xqDjWdbZnSpxH9A2tgbWFGeHi42hFFeZKVDIemwoXVhikb3b+BlqPAwlrtZKKcKHbhl5CQwODB\ngx8q+v5kZmZG69at2bhxY4mFE0KI8ipLU8DaM/H8fCKWlEwtDd0rMX9IM3o1qo6Z7NQVj0ubDSfn\nwcm5UFgArcYYxqzZyux58XiKXfjZ2Nhw586dvzzn7t27Rc7KFUKIiuB2loblJ+JYffoGWRod7Xyq\nMGOAP+19XGSDmXh8hToIXQ2H/gXZKdCwL3T9Epy91U4myqliF36BgYH8/vvvRERE4Ofn99DrV69e\nZf/+/bRr165EAwohRHkQdyeHJcdi2HQukYJCPb0bVWd0J2+a1JBpQeIJKApc22d4ji81Ajxbw8A1\n4NlC7WSinCt24TdmzBiOHj3KsGHDGD58OIGBgTg4OJCSksK5c+dYt24der2esWPHlmZeIYQoUy4l\nZrD4SDS7L9/C3MyUfgE1GNXRm9oudmpHE+XVzVDY/wXEHgXnOvDKL1D/RZAVY1ECil34NWnShNmz\nZ/Ppp58yf/78B25ZKIqCg4MD33//PU2aNCmVoEIIUVYoisKJ63dZdOQ6J67fxcHKnNGd6vBGOy9c\nHeQhe/GE7iXAwW8MPflsnKHXdGj+BphZqJ1MGJHH6rbcrVs3WrduzYEDB4iIiCA7Oxs7Ozv8/Pzo\n1q0b9vYyRFwIYbwK9Qq7L99i8ZFoLidl4upgxSe9/BjSqiYO1vLLWTwhTQYcmwmnFxlW9dq/b/jP\nurLayYQRKnbht2XLFvz8/PDz8+Pll1/m5Zdffuicc+fOcfr0aWmeLIQwKpqCQjadS+SnYzHcuJuL\nt4sd3wY3pm+AB1bmMvtUPCFdPpxbDoe/hbw0aDIIunwOjp5qJxNGrNiF36RJkxg/fvwjN3b8af/+\n/axbt04KPyGEUcjIK2D16RssPxHHnWwt/p6OfNLLj+4NqklLFvHkFAWHxEOwfwikxUDtjoZ+fO5N\n1U4mKoAiC7/ffvuNgwcPPnBs586dRTYbLSgo4MyZMzg6yg42IUT5lpKpYdnxWNaeiSdbq6Ojb1XG\ndqpDa29nackink5GEmx/lxrX90NVPxiyEep2l40b4pkpsvDr0KEDU6ZMITc3FwATExNiYmKIiYkp\n8i+ztLRkwoQJJZ9SCCGegejUbJYcieG3C4kU6hVeaOLO6E7eNHSXZ63EU1IUw7SNvZ+CXkdys/ep\n9sLnYPZYj9oL8dSK/ImrWrUqv//+O3l5eSiKQrdu3Rg+fDivvfbaQ+eamJhgbm6Ok5MTFhbygLMQ\nony5EJ/O4iPR7LuagqWZKYNb1mRkB288nW3VjiaMQUYibJsA0QegVnt4eR7pKVqqSdEnVPCXP3XO\nzv8dBTNt2jTq16+Ph4dHqYcSQojSpigKh6NSWXw4mjOxaVS2seCdzj4Mb+uFi72V2vGEMVAUOL8K\n9n4Gih56z4Dmb4GpKaTIjGahjmJfbvTt27c0cwghxDOhK9Sz89ItFh+JIfxWJtUrW/P58/UZ3LIm\ndlayAiNKyL0E2DYeYg6BVwd4aR4411Y7lRCP18dPCCHKq7z8QjaEJPDTsRgS0/Oo62rPjAH+vOTv\njqW5qdrxhLFQFDi3AvZ9YVjle/4HCHzTsMonRBkghZ8Qwqil5+Sz6tQNVp6KIy0nn8BaTnz1YkO6\n+rliKi1ZRElKvwHbJ0DMYUOLlpfmg1MttVMJ8QAp/IQQRunmvTyWHovl17Px5OYX0tXPlTFBdWjh\n5fz3XyzE49DrDY2Y939p+PMLsyDwDWnRIsokKfyEEEYlKiWLxUei2RZ6E4CX/N0Z3akO9ao5qJxM\nGKX0OMOzfLFHwTvI8CyfY02VQwlRNCn8hBBG4WxcGosPR3Mg4jY2FmYMa1OLER288XC0UTuaMEZ6\nPYQsg/1fgYkpvDgHAobLKp8o8x6r8MvMzGTHjh0MGTIEgIyMDCZPnkxISAgeHh5MmDCBNm3alEpQ\nIYT4//R6hYMRt1l8JJqQG+k42VrwXre6DG/jhZOdpdrxhLFKi4Wt78CN41CnC7w4V+brinKj2IVf\nfHw8gwYNIj09na5du+Lm5saXX37J3r17sbW1JSwsjJEjR7J69WqaNpV5g0KI0lNQqGdr6E1+PBLN\ntdvZeDja8M8XG/BKC09sLeVGhiglej2c/Ql+/yeYmhs2bzR7VVb5RLlS7E/I+fPnk5GRwUcffYSj\noyN37txh//791K1bl40bN5KamsqAAQNYvHgxixcvLs3MQogKKker49ezCSw7FsPNDA1+1RyYPbAp\nzzepjoWZtMsQpehutOFZvhsnwKebYZWvsgw0EOVPsQu/U6dO8dxzz/Hmm28CsG3bNvR6PX369MHa\n2hpPT0969OjBnj17Si2sEKJiuputZeXJOFaeukFGXgEtazszNbgxQb5VMZHVFlGa9Hr440f4fTKY\nWcLLC6HpEFnlE+VWsQu/jIwMatb8706lY8eOYWJiQvv27e8fs7e3Jz8/v2QTCiEqrIS0XH46FsOG\nkAQ0BXqea+DGmKA6BNR0UjuaqAjuRsPWcRB/Cuo+Z9jAUcld7VRCPJViF37VqlUjISEBgPz8fE6e\nPEnVqlWpV6/e/XNCQ0OpXr16yacUQlQoV29m8uPRaHaE3cLUBPo282BUxzr4uNqrHU1UBPpCOLMY\nDnwN5lbQZzH4D5JVPmEUil34NW/enG3btjF//nwiIyPJycmhX79+ACQkJLB8+XLOnz/PyJEjSy2s\nEMJ4KYrC6Zg0Fh+J5khUKnaWZrzZzou32ntTrbK12vFERXHnmmGVL+EM+PaEF2ZDJVnQEE9PURSO\nJh4l4k4E9amvWo5iF34TJ04kPDyc+fPnA+Dp6cmYMWMAWLVqFWvXrqVZs2ZS+AkhHoter7DvagqL\njkRzMeEeLvaWfNSjHq+2qkVlWwu144mKQl8IpxfCwSlgbg19l0CTV2SVTzw1RVE4nnScBaELuHL3\nCg0cGjCa0arlKXbhV6VKFdavX8/JkyfR6/W0bdsWa2vDVXiPHj0ICAigW7duWFjIB7UQ4u9pdYVs\nuZDEj0djiEnNoaazLd/0acSAwBpYW5ipHU9UJKlRsPVtSDwL9XobRq45VFM7lSjnFEXh1K1TLAhd\nQFhqGB72Hnzd9mt88n1UzfVYDa8sLS0JCgp66Hjz5s1LKo8QwshlaQpYeyaen0/EkpKppaF7JeYN\nbkavRtUwl5Ys4lnSF8Kp+XBwKljaQvBSaNxfVvnEU/vj1h8sCF3A+dvnqWZXjS/bfEmfOn2wMLMg\nPDxc1WxFFn5nz5594r+0RYsWT/y1QgjjdDtLw/ITcaw+fYMsjY52PlWYMcCf9j4u0pJFPHupkbDl\nbUgKAb8X4PmZ4OCmdipRzp1LOcfC0IX8kfwHrjaufNbqM4LrBmNpVnYmCRVZ+A0bNuyJP4zVrmaF\nEGVH3J0clhyLYdO5RAoK9fRqVI0xnerQpIaj2tFERVSog1Pz4NA0sLSDfsugUT9Z5RNPJfR2KAtD\nF3Lq1ilcbFyY1HIS/X37Y2VmpXa0hzxW4bdr1y7u3r1L+/btadasGZUrVyY3N5dLly5x8OBBPDw8\n7s/xFUJUbJcSM1h8JJrdl29hbmpKv8AajOroTW0XO7WjiYrqdrhhle/meaj/omGVz95V7VSiHLt8\n5zILQhdwPOk4ztbOfNj8Q16p9wo25jZqRytSkYXfZ5999sCf169fT3p6OosXL6ZTp04PnR8SEsIb\nb7yBTqcr+ZRCiHJBURROXL/L4iPRHL9+Bwcrc0Z3qsMb7bxwdZCWLEIlhTo4MRuOfAdWDtB/OTTs\nK6t84omF3w1nYehCDicextHKkfcD32dQvUHYWtiqHe1vFXtzx88//0z37t0fWfSBYYNHjx49WLNm\nDW+99VaJBRRClH2FeoXdl2/x45EYLiVl4OpgxaRefgxpVZNK1rLTX6go5Yphle9WKDToA71ngH1V\ntVOJcioyLZJFFxdxIP4AlSwrMaHZBIbUH4KdRfm5k1Hswi8lJYUOHTr85TkODg6kp6c/dSghRPmg\nKSjk3+cT+eloDHF3c/F2sePb4Mb0DfDAylxasggVFRbA8f+s8llXhgErDKt8QjyB6+nXWXRxEftu\n7MPBwoG3m77Nq/VfxcHSQe1oj63YhV+tWrU4dOgQ7733Hvb2D49NunPnDvv378fX17dEAwohyp6M\nvAJWn77B8hNx3MnW4l+jMouGBvBcw2qYmcrtM6Gy5MuwZSwkhxk2bvT6Huxc1E4lyqGYjBgWX1zM\nntg92FrYMrrJaIY1GEZlq8pqR3tixS78hg0bxueff85rr73G2LFjadiwIXZ2dmRlZXH+/HkWLlzI\n3bt3mTx5cmnmFUKoKCVTw7Ljsaw9E0+2VkdH36qM6eRNG+8q0pJFqK+wAI7NhKPTwcYRXvkFGryk\ndipRDsVnxrP44mJ2xu7EysyKNxu9yesNX8fRuvx3Iyh24de/f38SExNZunQpEyZMeOh1S0tLPv/8\nc7p27VqiAYUQ6otOzWbJkRh+u5BIoV7h+SbujO7oTSOP8nvVK4zMrTDD9I3kS9B4APT8DuyqqJ1K\nlDMJWQksCVvC9ujtWJha8FqD13i94etUsTGen6XHmtzx3nvv0bdvX3bv3k1kZCSZmZlUqlSJhg0b\n0rt3b9zd3UsrpxBCBRfi01l8JJp9V1OwNDNlUIuajOzgTc0qZX/nmqggdPlw7Ac4NgNsnGHgGqj/\ngtqpRDlzM/smS8KWsPX6VkxNTBnsN5i3Gr+Fi43xPSLwWIUfGJ71GzNmTGlkEUKUAYqicDgqlcWH\nozkTm0ZlGwve6ezD8LZeuNiXvWakogK7ddGwYzflMjQZCD2/BVtntVOJciQ5J5mll5by72v/xgQT\nBtQbwIjGI3C1Nd7+jo9d+MXGxpKUlER+fj6KojzyHLndK0T5oyvUs/PSLRYfiSH8VibVKlnz+fP1\nGdSyJvZWj/1RIUTp0eUbnuM7PhNsq8CgdeDXW+1UohxJzU1l6aWlbIzaiIJCsE8wI5uMpJpdNbWj\nlbpif5qnp6czbtw4Lly4UOQ5iqJgYmIiI9uEKEfy8gvZEJLAT8diSEzPw8fVnun9m/ByUw8szU3V\njifEg25egC3j4PYV8B8MPf4lq3yi2O7k3eHnyz+zIXIDOr2OPj59GNlkJB72HmpHe2aKXfjNnDmT\n8+fPU7duXdq0aYODg4Ps4hOiHEvPyWfVqRusPBVHWk4+ATUd+erFhnT1c8VUWrKIskanhSPfw/FZ\nhjFrg9dDvZ5qpxLlRJomjRWXV7AuYh35+nxe9H6R0U1G41nJU+1oz1yxC78DBw7QoEEDNm7ciJmZ\nNGYVory6eS+Ppcdi+fVsPLn5hXTxc2VMpzq08HKSizlRNiWdNzzLlxoOTYdCj6lg46R2KlEO3NPc\nY+XVlawJX4NGp+F57+cZ3WQ0XpW91I6mmmIXfjk5ObRr106KPiHKqaiULBYfiWZb6E0U4GV/d0Z1\n8savWiW1ownxaAUaOPItnJgL9m4wZCP4Pqd2KlEOZOZn8svVX/jl6i/kFuTS06snY/zH4O3orXY0\n1RW78PP19SUmJqY0swghSkFIXBqLj0Tze/htbCzMeLV1LUZ0qE0NJ2nJIsqwxHOGvnypEdDsVXhu\nqqEpsxB/ITs/m9Xhq1l1ZRVZBVl0r9Wdsf5jqetUV+1oZUaxC7+xY8cyfvx49u3bx3PPyRWXEGWZ\nXq9wMOI2i49EE3IjHSdbC97rVpfhbbxwsrNUO54QRSvQwOF/wcl54FAdhv4b6nZTO5Uo43ILclkb\nsZYVV1aQoc2gi2cX3m76NvWc66kdrcwpduF39epV6tWrx7vvvounpydeXl5YWj78C8TExIR58+aV\naEghRPEUFOrZFnqTH49GE5WSjYejDf98sQGvtPDE1lJasogyLuGsYZXvThQEvAbPTQFrmQ4jipZb\nkMv6yPUsv7ycdG06nWp0YmzTsTSs0lDtaGVWsX8TzJ8///7/jo+PJz4+/pHnldeHw/Pz8wkODubT\nTz+lbdu2ascR4rHkaHX8ejaBZcdiuJmhwa+aA7MG+vNCE3cszKQliyjjCvLg0FQ4tQAc3OHV38BH\n+sGKoml0GjZEbmDZ5WWkadJo59GOcf7jaFy1sdrRyrzH2tVrrLRaLRMnTuTatWtqRxHisdzN1rLy\nZBwrT90gI6+AlrWdmdq3MUH1qpbbizBRwcSfMazy3b0Oga9D92/AWjYciUfTFmrZFLWJZZeWkZqX\nSuvqrRnXdBxNXZuqHa3cKHbh5+FhnM0Nr1+/zsSJE4ucQiJEWZSQlstPx2LYEJKApkBP9wZujOlU\nh8Ba0uJClBP5uf9d5atcA4ZtgTqd1U4lyqj8wnw2X9vMkktLuJ17m0C3QL7r+B0tqrVQO1q589gP\n/SQmJrJlyxYiIyPJy8vD0dGRunXr0rt3bzw9y18jxD/++INWrVrx/vvv07SpXDGIsu3qzUx+PBrN\njrBbmJpAn6YejO7kjY+rg9rRhCi+G6dg6zhIi4bmb0L3r8FKfobFwwr0BWy9vpUlYUu4lXOLplWb\n8q/2/6JltZZyV+MJPVbht27dOqZOnYpOp3votfnz5/PZZ58xaNCgEgv3LAwZMkTtCEL8JUVROB1j\naMlyJCoVO0sz3mznxZvta1O9so3a8YQovvxcOPgNnF4Ejp7w2jbw7qR2KlEG6fQ6tkdv58ewH0nK\nTqKJSxP+2eaftHFvIwXfUyp24Xfy5Em+/vprXFxcGDNmDIGBgbi6upKZmcnZs2dZsGAB33zzDXXq\n1KFFi7Kx9KrVaklOTn7ka1WqVMHe3v4ZJxKi+PR6hX1XU1h0JJqLCfeoYmfJh8/5Mqy1F5VtLdSO\nJ8TjuXHyP6t8MdBiBHSbDFbyGSweVKgvZFfsLhZfXEx8VjwNqjTg01af0sGjgxR8JaTYhd/SpUtx\ncHBg3bp11KhR4/5xZ2dnvLy8aN26Nf369WPZsmVlpvC7dOkSQ4cOfeRr06ZNIzg4+BknEuLvaXWF\nbLmQxI9HY4hJzaGmsy3f9GnEgMAaWFvI5BxRzuTnwIGv4cyP4FgThm+H2h3VTiXKmEJ9Iftu7GNh\n6ELiMuOo51SPuZ3nEuQZJAVfCSt24RcWFkb37t0fKPr+l6enJ127duXQoUMlFu5pNW/enMjISLVj\nCFEsWZoC1v0Rz7LjsaRkamlQvRLzBjejV6NqmEtLFlEexR03rPKlx0HLUdD1K1nlEw/QK3p+v/E7\niy4u4vq96/g4+jAraBZdanbB1EQ+90pDsQu/goICbG3/esSTra0tGo3mqUMJUZGkZmlZcT6NXesP\nkqXR0bZOFab396dDXRe50hXlkzYbDkyGP5aAkxe8vhO82qudSpQhiqJwMOEgC0MXEpUehXdlb6Z3\nms5ztZ6Tgq+UFbvw8/b25tixY2g0GqytrR96PS8vj6NHj1K7du0SCZaSkkLv3r0ZP348r7/++kOv\n63Q6Vq9ezYYNG0hMTKRq1aoEBwczatQoLCzk+SdR9uVodfx4NIYlR6PRFujp1bgaozvWwd9T5pGK\nciz2KGx9B+7FQ6ux0PULsLRTO5UoIxRF4WjiURaELiA8LZxalWrxbYdv6enVEzNTeZTlWSh2WT1g\nwADi4+OZMGECSUlJD7x2/fp13n77bRITE+nfv/9Th8rJyWH8+PFkZ2cXec7XX3/NtGnTcHR05LXX\nXsPNzY25c+cyceLEp/7+QpSmQr3ChpAEOs84zNwD1+ha340lfWqwcGigFH2i/NJmw86JsPJFMDWD\nN3ZBr2+l6BOAoeA7nnScITuH8M7Bd8jKz2JKuylseXkLz3s/L0XfM1TsFb/Bgwdz5swZ9u7dS7du\n3XBzc8PBwYGUlBSysrJQFIXnnnuuyM0UxZWUlMT48eO5cuVKkeecP3+e9evX06NHD+bMmYOJiQmK\nojBp0iS2bNnCoUOH6Nz58RuByvOAorSduH6HKTvDCb+VSVNPRxa9GkBgLWfCw8PVjibEk4s5DNvG\nw70EaD0OunwOln/9aJCoGBRF4fSt0ywIXcDF1Iu427kzue1kXqzzIhamcndODSbKY4ysUBSFM0F6\n8gAAIABJREFUrVu3snnzZiIiIsjJycHOzg4/Pz/69u1Lnz59nirMihUrmDt3LhqNhhYtWnD69Gk+\n+eSTh271Tpw4kR07drB9+3Z8fX3vH09JSaFTp0506dKFhQsXPlWW/+/cuXN/+4zj0yrqNroo/xIy\n8lkaksYfibm42pnzRqAznbzs7j/DJ+99xVWe33vTghxcL87HKXozWntPbrX8nLyq/mrHKhfK8/te\nXFcyr7AhaQPhWeFUsaxCsHswnV06Y2762LMjjMqzeu9zc3MJDAx86Phj/b9vYmJCnz59HirwtFot\nVlZWT5cQWLVqFR4eHkyePJm4uDhOnz79yPNCQkJwcnJ6oOgDcHNzw8vLi7Nnzz51lkepX79+qfy9\nfwoPDy/17yGerbScfOb8HsXqM0nYWJjxcU8/3mjn9VBbFnnvK65y+95HH4I94yEjEdq8g1Xnz/CS\nVb5iK7fvezGcTznPgtAF/JH8B642rnza6lP61e2HpZml2tHKhGf13p87d+6Rxx+r8IuKimL27Nl0\n7tyZAQMG3D/eoUMHAgIC+OKLL55qpu/kyZNp27YtZmZmxMXFPfKc/Px8kpOT8fd/9FWlh4cHsbGx\npKWl4ezs/MRZhHgaWl0hK0/GMe/gdXK0Ooa0qsl73XxxsX/6CyQhVKXJhH2fw/mVUKUuvLkXarZS\nO5UoAy6mXmTBhQWcunWKKtZV+LjFx/T37Y+1uXGvbJY3xS78IiMjGTx4MHl5eQQEBNw/rtFoaNiw\nIcePH6dfv36sW7fuiXf2dujQ4W/PuXfvHgAODo+e6/jn8aysLCn8xDOnKAq7LyczbXc4CWl5BNWr\nyqe96+PrJnNIhRG4/jtsexeybkLbCdD5U7CQsYEV3ZU7V1gQuoBjScdwtnbmw+Yf8kq9V7Axl5+N\nsqjYhd+cOXNQFIW1a9fSrFmz+8etra1Zvnw5Fy5c4PXXX2fWrFnMnTu3VMIC9+cEW1o+esn4z+Na\nrbbUMgjxKKEJ95iy4yohN9Kp5+bAqjdb0tG3qtqxhHh6mgzY+xlc+AVcfOHNfeBZNiY0CfWE3w1n\n4cWFHE44TGWryrwX8B6D/QZjayG3/Muyx5rc8cILLzxQ9P2vZs2a0bt3bw4cOFBi4R7lzwciCwoK\nHvl6fn4+ADY2cqUhno2ke3l8vyeCraE3cbG3YlpwY15p7omZqTRfFkbg2n7Y/i5k3YJ270HQJ2Ah\nt+4qsqj0KBaFLuL3+N9xsHRgfLPxDPEbgr2lTGUpD4pd+OXm5v5tY2Q7O7tSX2mzt7fH1NS0yB5/\nWVlZQNG3goUoKVmaAhYdjmbp8VhMgHc6+zAmqA72VhV7x5owEnn3DKt8oauhqh+88gvUeHiHoKg4\nou9Fs+jiIvbG7cXewp6x/mN5tcGrVLKspHY08RiK/RvKx8eHI0eO3G/h8v9ptVqOHTuGt7d3iQb8\n/ywtLXF3dycxMfGRrycmJuLs7IyjozTCFaVDV6hnfUgCs/ZHcSc7nz5N3fmopx8ejrLKLIxE1F7D\nKl92CrT/ADp9LKt8FVhsRiyLLy5md+xubMxtGNl4JMMbDqeyVWW1o4knUOzJHQMHDiQpKYkxY8Zw\n8eJFCgsLAdDr9Vy6dIm3336b+Ph4Bg4cWGph/xQYGEhqaiqxsbEPHE9JSSEuLq7IHb9CPK0jUan0\nnnuMzzZfpraLHVvHtWP2oGZS9AnjkJcOm8fC2lfA2hFG/A7dvpKir4KKz4zns+Of0WdrHw4lHOKN\nRm+wp98eJgRMkKKvHCv2il+/fv24ePEiGzZsYNCgQZiZmWFlZYVWq6WwsBBFUejXrx+DBg0qzbwA\n9OnTh61btzJr1ixmz56NqakpiqIwc+ZMgGdSfIqKJTI5i6m7wjkalUqtKrYsfjWAHg2r3W/ALES5\nF7kbtr8HOanQ4UPo9A8wl/ZDFVFiViJLwpawLXob5qbmDKs/jDcavUEVmypqRxMl4LEeRvr666/p\n1asXO3fuJDIykszMTGxtbfH19eWll16iXbt2pZXzAW3btqV3797s2rWLgQMH0qpVKy5cuEBISAg9\nevQgKCjomeQQxi81S8us36P49Y947K3M+fz5+gxrUwsrc5krKYxEbhrs+QTCfgXXhjDkV3B/9CY+\nYdxuZd9iyaUlbLm2BVMTUwb7DebNRm9S1Va6ExiTx34KvU2bNrRp06Y0sjyW77//Hh8fHzZv3szK\nlStxd3dnwoQJjBw5UlZhxFPTFBSy7Hgsiw5Hoyko5LU2XrzbtS5OdtJ5XhiRiF2w4z3IvQsd/wEd\nPwJz+RmvaFJyUvjp0k/8+9q/McGE/r79GdF4BG52bmpHE6XgsQs/nU7HiRMniIiIICMjg3/84x9E\nRkZiZ2dHjRo1SixYcHAwwcHBRb5uYWHBuHHjGDduXIl9TyEURWHbxZt8vyeSpHt5dG/gxie9/PCu\nKm0KhBHJTYPdH8OlDeDWCIZuhOrybHRFk5qbyrLLy9gYuRG9oqdv3b6MbDyS6vbV1Y4mStFjFX5n\nzpzh448/JiUlBUVRMDEx4R//+Ae7d+/mp59+4oMPPuCtt94qraxClKqQuDS+2RnOxYR7NKheiekD\nmtC2jovasYQoWeE7YMf7kJcGnSZBh4myylfB3M27y8+Xf2Z95Hp0eh0v+7zMqCaj8LB/8pGrovwo\nduEXHh7OqFGjsLa2ZvTo0cTExLB//34AmjZtiouLCzNmzKB27dp06dKl1AILUdLi7+by7Z5wdl1K\nxq2SFdP7NyE4oIY0YBbGJecu7P4HXN4E1RrDq/+G6k3UTiWeoXRNOsuvLOfXiF/RFmp5wfsFxjQZ\ng2clT7WjiWeo2IXf3LlzsbKy4rfffsPDw4P58+ffL/yCgoLYuHEjL730EsuXL5fCT5QLGXkFLDh0\nnRUn4jAzNeG9bnUZ1dEbW0tpwCyMzNVtsPMDQ1Pmzp9B+/fB7K8b8gvjkaHNYOWVlawJX0OeLo/e\n3r0Z02QMXpW91I4mVFDs33Dnzp2jZ8+eeHg8einY1dWVXr16sXv37hILJ0RpKCjUs/ZMPLN/j+Je\nXgH9A2rwYY96uFWSXmXCyOTcgV0fwZXfDM/wDdsC1RqpnUo8I5n5mfxy9RdWX11NdkE2Pb16MsZ/\nDHUc66gdTaio2IWfVqvF1vavBy+bmZmV+sg2IZ6UoigcjLjN1F3hxKTm0Ma7Cp+/UJ+G7tKIVBih\nK5th54egyYAunxvm7MoqX4WQnZ/NmvA1rLy6kqz8LLrX6s4Y/zH4OvmqHU2UAcUu/OrUqcOJEyfQ\n6/WYmj488KOgoIDjx49Tu3btEg0oREm4cjODqTvDORl9F28XO5a+1pyu9V2l9Y8wPtmpsGsiXN0K\n1ZvC8G3g1lDtVOIZyC3IZW3EWlZcWUGGNoMgzyDGNR2Hn7Of2tFEGVLswm/AgAFMnjyZSZMm8ckn\nnzzw2t27d/n666+5ceMGn332WYmHFOJJpWRq+GFfJBvPJVLZxoJ/vtiAoa1rYWFW7GmFQpQPimK4\npbvrI9BmQdcvoe27YCbPrBq7PF0e6yPW8/Pln0nXptPBowPjmo6joYsU/OJhxf5EGDx4MBcuXGDb\ntm1s374dKyvDKJ8uXbqQnJyMXq+nW7duDB06tNTCClFcufk6fjoay+Ij0ej0eka0r807netS2VZu\ndQkjlH3bsHkjfDu4B0CfheBaX+1UopRpdBo2Rm1k2aVl3NXcpa17W95u+jb+VaUnoyjaY10Kfv/9\n93Tu3JlNmzZx9epVdDod2dnZBAYG0rdv379suCzEs6DXK/x2IYkZeyNJztTQu3E1Pu7pR60qdmpH\nE6LkKQpc/jfs+hDyc6DbP6HNeFnlM3L5hflsitrE0ktLSc1LpVW1VsxsOpMAtwC1o4ly4LE/HXr1\n6kWvXr1KI4sQT+VU9F2m7rrK5aRM/GtUZt6QZrTwclY7lhClIyvFsMoXsQM8AuHlheAqz3IZs4LC\nAjZf38ySsCWk5KYQ4BrAdx2/o0W1FmpHE+XIU10WarVakpOTcXFxwc5OVlSEOmJSs5m2O4L9V1Nw\nr2zNnEFNebGJO6bSgFkYI0WBSxsNz/IV5EH3r6H1OFnlM2IF+gK2Xd/GkrAl3My5iX9Vf6a0n0Kr\naq1kg5p4bH/7SXHw4EH279/P8OHD8fMzXE0qisLMmTNZvXo1Go0GU1NTunfvzldffYWTk1OphxYC\n4F5uPnMOXOOXUzewMjflox71eKt9bawtzNSOJkTpyEo2jFuL3AU1WhhW+apKiw5jpdPr2Bmzk8UX\nF5OYnUhjl8Z82eZL2rq3lYJPPLG/LPy+/PJLNm7cCBimc/xZ+M2aNYuffvoJExMT2rY1/ADu27eP\n69ev89tvv2FpKXMfRenJ1+lZdSqOuQeuka3VMbBFTT7o7ktVByu1owlROhQFwtYbRq7ptPDcFGj9\nNpjKRY4xKtQXsjtuN4svLuZG5g3qO9dnQdcFdPDoIAWfeGpFFn4HDx5kw4YNNGjQgIkTJ9K8eXMA\nUlJS+PnnnzExMeGbb76hf//+ABw4cIBx48axatUqRowY8WzSiwpFURT2Xknh293hxN3NpUNdFz5/\nvgH1qjmoHU2I0pN5C3a8B1F7wLMVvLwAXOqqnUqUAr2iZ1/cPhZeXEhsRiy+Tr7M6TyHzp6dpeAT\nJabIwm/Tpk04OjqyatUq7O3t7x/fs2cPOp2OWrVq3S/6ALp27UpAQAB79uyRwk+UuLDEe0zZEc4f\ncWn4utmz4o0WBNVzVTuWEKVHUeDiOtgzybDK1+Nf0GqMrPIZIb2i50D8ARaGLuT6vev4OPowM2gm\nXWt2xdREeo6KklVk4RcWFkZQUNADRR/AyZMnMTExoUuXLg99jb+/P5s2bSr5lKLCunkvjxl7I/nt\nQhJV7CyZ2rcRA5t7Yi4NmIUxy7wJ29+Fa/ugZhvDKl8Vma9qbBRF4VDCIRaGLiQyPZLalWszveN0\nnvN6Tgo+UWqKLPwyMjJwc3N74Jher+fcuXMAtGnT5uG/zNycgoKCEo4oKqJsrY4fj0Sz5GgMCvB2\nUB3GBtXBwVoaMAsjpigQugb2fAqF+dDzW2g5Gh4xJlOUX4qicP7eeb7a8RXhaeHUqlSLaR2m0cur\nF2ayoitKWZGFn4ODA+np6Q8cCwsLIzs7GwsLC1q0eLhvUFxcnOzqFU+lUK+wMSSBGfuiuJOt5SV/\nd/7Rsx41nGzVjiZE6cpIhG0TIPoA1GwLL8+XVT4jdOXOFb4/+z3nb5/Hw96Db9p9wwveL2BuKu14\nxLNR5E9a48aNOXnyJHq9HtP/XG3u2LEDMKz22djYPHB+amoqx48fp0OHDqUYVxizY9dSmboznIjk\nLAJrOfHTa4E0qykXEsLIKQqcWwl7PwOlEHpNhxYjZJXPyCTnJDP3/Fy2x2zH2dqZEbVG8HbHt7Ew\nlbsY4tkqsvB75ZVXGDduHB988AFDhw4lKiqK9evXY2Ji8tA83rS0NN577z00Gg0vvfRSqYcWxuVa\nShb/2hXOochUPJ1tWDAkgN6Nq8kuNmH87iXgefQ9SD4DtdobVvmca6udSpSg3IJcll1exsorK1EU\nhbcavcWIxiNIiE6Qok+oosjCr2vXrgwdOpQ1a9awd+9ewPBcwpAhQ+jUqdP988aMGcOpU6fQarX0\n7NmTbt26lX5qYRTuZmuZ/fs11v4Rj62lGZ/29mN4Wy+szOUZF2HE9Hq4cQIu/gpXNmOr6KH3DGj+\nlqzyGZFCfSFbo7cy78I87uTdoVftXrwb8C4e9h5qRxMV3F8+VPDFF1/Qo0cPDh06hE6no127dgQF\nBT1wTkxMDHZ2dowaNYoxY8aUZlZhJDQFhaw4GceCg9fJLSjk1VY1ebebL8520vhbGLG70YZiL+xX\nuBcPlg7QqC8x7sH4tOiqdjpRgk7dPMWMkBlEpUfhX9Wf2Z1n41/VX+1YQgDFGNnWsmVLWrZsWeTr\nv/3220MtX4R4FEVR2BF2i+/2RJCYnkdXP1c+6V0fH1f5+RFGKu8eXNls6MeXcAYwAe8g6PIF+L0A\nlrYUhIerHFKUlJh7Mfxw7geOJh7Fw96D6Z2m06NWD3lsRZQpT72NSIo+URznbqQ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Afg5nyLEycMA858A/vfhWPxUFIILXrDgFnQ4SFw1RMsREREHJGCn50Y2nooLfNb0qFDh9s/SH4W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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11aa4cc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a6e7908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "disk_x = store_many_timings[\"disk\"]\n",
    "lmdb_x = store_many_timings[\"lmdb\"]\n",
    "hdf5_x = store_many_timings[\"hdf5\"]\n",
    "\n",
    "plot_with_legend(\n",
    "    cutoffs,\n",
    "    [disk_x, lmdb_x, hdf5_x],\n",
    "    [\"PNG files\", \"LMDB\", \"HDF5\"],\n",
    "    \"Number of images\",\n",
    "    \"Seconds to store\",\n",
    "    \"Storage time\",\n",
    "    log=False,\n",
    ")\n",
    "\n",
    "plot_with_legend(\n",
    "    cutoffs,\n",
    "    [disk_x, lmdb_x, hdf5_x],\n",
    "    [\"PNG files\", \"LMDB\", \"HDF5\"],\n",
    "    \"Number of images\",\n",
    "    \"Seconds to store\",\n",
    "    \"Log storage time\",\n",
    "    log=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualise how much memory is used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ln1afpBxdSk5OVuuzsbFRK+rKL+PWlEf5+/ZA2euufF5F+U/IT2rVqhXu3r2LlJQUjXlo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\nBBUAAGBYBBUAAGBY/w/+cTwVm7VYwAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x118636c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Memory used in KB\n",
    "disk_mem = [24, 204, 2004, 20032, 200296]\n",
    "lmdb_mem = [60, 420, 4000, 39000, 393000]\n",
    "hdf5_mem = [36, 304, 2900, 29000, 293000]\n",
    "\n",
    "X = [disk_mem, lmdb_mem, hdf5_mem]\n",
    "\n",
    "ind = np.arange(3)\n",
    "width = 0.35\n",
    "\n",
    "plt.subplots(figsize=(8, 10))\n",
    "plots = [plt.bar(ind, [row[0] for row in X], width)]\n",
    "for i in range(1, len(cutoffs)):\n",
    "    plots.append(\n",
    "        plt.bar(\n",
    "            ind,\n",
    "            [row[i] for row in X],\n",
    "            width,\n",
    "            bottom=[row[i - 1] for row in X],\n",
    "        )\n",
    "    )\n",
    "\n",
    "plt.ylabel(\"Memory in KB\")\n",
    "plt.title(\"Disk memory used by method\")\n",
    "plt.xticks(ind, (\"PNG\", \"LMDB\", \"HDF5\"))\n",
    "plt.yticks(np.arange(0, 400000, 100000))\n",
    "\n",
    "plt.legend(\n",
    "    [plot[0] for plot in plots],\n",
    "    (\"10\", \"100\", \"1,000\", \"10,000\", \"100,000\"),\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read out a single image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def read_single_disk(image_id):\n",
    "    \"\"\" Stores a single image to disk.\n",
    "        Parameters:\n",
    "        ---------------   \n",
    "        image_id    integer unique ID for image\n",
    "        \n",
    "        Returns:\n",
    "        ----------\n",
    "        image       image array, (32, 32, 3) to be stored\n",
    "        label       associated meta data, int label\n",
    "    \"\"\"\n",
    "    image = np.array(\n",
    "        Image.open(disk_dir / f\"{image_id}.png\")\n",
    "    )\n",
    "\n",
    "    with open(disk_dir / f\"{image_id}.csv\", \"r\") as csvfile:\n",
    "        reader = csv.reader(\n",
    "            csvfile,\n",
    "            delimiter=\" \",\n",
    "            quotechar=\"|\",\n",
    "            quoting=csv.QUOTE_MINIMAL,\n",
    "        )\n",
    "        label = int(next(reader)[0])\n",
    "\n",
    "    return image, label\n",
    "\n",
    "\n",
    "def read_single_lmdb(image_id):\n",
    "    \"\"\" Stores a single image to LMDB.\n",
    "        Parameters:\n",
    "        ---------------   \n",
    "        image_id    integer unique ID for image\n",
    "        \n",
    "        Returns:\n",
    "        ----------\n",
    "        image       image array, (32, 32, 3) to be stored\n",
    "        label       associated meta data, int label\n",
    "    \"\"\"\n",
    "\n",
    "    # Open the LMDB environment; see (1)\n",
    "    env = lmdb.open(\n",
    "        str(lmdb_dir / f\"single_lmdb\"), readonly=True\n",
    "    )\n",
    "\n",
    "    # Start a new read transaction\n",
    "    with env.begin() as txn:\n",
    "        # Encode the key the same way as we stored it\n",
    "        data = txn.get(f\"{image_id:08}\".encode(\"ascii\"))\n",
    "        # Remember that it's a CIFAR_Image object that we get back out\n",
    "        cifar_image = pickle.loads(data)\n",
    "        # Retrieve the relevant bits\n",
    "        image = cifar_image.get_image()\n",
    "        label = cifar_image.label\n",
    "    env.close()\n",
    "\n",
    "    return image, label\n",
    "\n",
    "\n",
    "def read_single_hdf5(image_id):\n",
    "    \"\"\" Stores a single image to HDF5.\n",
    "        Parameters:\n",
    "        ---------------   \n",
    "        image_id    integer unique ID for image\n",
    "        \n",
    "        Returns:\n",
    "        ----------\n",
    "        image       image array, (32, 32, 3) to be stored\n",
    "        label       associated meta data, int label\n",
    "    \"\"\"\n",
    "\n",
    "    # Open the HDF5 file\n",
    "    file = h5py.File(hdf5_dir / f\"{image_id}.h5\", \"r+\")\n",
    "\n",
    "    image = np.array(file[\"/image\"]).astype(\"uint8\")\n",
    "    label = int(np.array(file[\"/meta\"]).astype(\"uint8\"))\n",
    "\n",
    "    return image, label\n",
    "\n",
    "\n",
    "_read_single_funcs = dict(\n",
    "    disk=read_single_disk,\n",
    "    lmdb=read_single_lmdb,\n",
    "    hdf5=read_single_hdf5,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Method: disk, Time usage: 0.0029513100016629323\n",
      "Method: lmdb, Time usage: 0.0010519620045670308\n",
      "Method: hdf5, Time usage: 0.0038483430034830235\n"
     ]
    }
   ],
   "source": [
    "from timeit import timeit\n",
    "\n",
    "read_single_timings = dict()\n",
    "\n",
    "for method in (\"disk\", \"lmdb\", \"hdf5\"):\n",
    "    t = timeit(\n",
    "        \"_read_single_funcs[method](0)\",\n",
    "        setup=\"image=images[0]; label=labels[0]\",\n",
    "        number=1,\n",
    "        globals=globals(),\n",
    "    )\n",
    "    read_single_timings[method] = t\n",
    "    print(f\"Method: {method}, Time usage: {t}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'disk': 0.0029513100016629323,\n",
       " 'hdf5': 0.0038483430034830235,\n",
       " 'lmdb': 0.0010519620045670308}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_single_timings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reading in many images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def read_many_disk(num_images):\n",
    "    \"\"\" Reads image from disk.\n",
    "        Parameters:\n",
    "        ---------------   \n",
    "        num_images   number of images to read\n",
    "        \n",
    "        Returns:\n",
    "        ----------\n",
    "        images      images array, (N, 32, 32, 3) to be stored\n",
    "        labels      associated meta data, int label (N, 1)\n",
    "    \"\"\"\n",
    "    images, labels = [], []\n",
    "\n",
    "    # Loop over all IDs and read each image in one by one\n",
    "    for image_id in range(num_images):\n",
    "        images.append(\n",
    "            np.array(\n",
    "                Image.open(disk_dir / f\"{image_id}.png\")\n",
    "            )\n",
    "        )\n",
    "\n",
    "    with open(\n",
    "        disk_dir / f\"{num_images}.csv\", \"r\"\n",
    "    ) as csvfile:\n",
    "        reader = csv.reader(\n",
    "            csvfile,\n",
    "            delimiter=\" \",\n",
    "            quotechar=\"|\",\n",
    "            quoting=csv.QUOTE_MINIMAL,\n",
    "        )\n",
    "        for row in reader:\n",
    "            labels.append(int(row[0]))\n",
    "    return images, labels\n",
    "\n",
    "\n",
    "def read_many_lmdb(num_images):\n",
    "    \"\"\" Reads image from LMDB.\n",
    "        Parameters:\n",
    "        ---------------   \n",
    "        num_images   number of images to read\n",
    "        \n",
    "        Returns:\n",
    "        ----------\n",
    "        images      images array, (N, 32, 32, 3) to be stored\n",
    "        labels      associated meta data, int label (N, 1)\n",
    "    \"\"\"\n",
    "    images, labels = [], []\n",
    "    env = lmdb.open(\n",
    "        str(lmdb_dir / f\"{num_images}_lmdb\"), readonly=True\n",
    "    )\n",
    "\n",
    "    # Start a new read transaction\n",
    "    with env.begin() as txn:\n",
    "        # Read all images in one single transaction, with one lock\n",
    "        # We could split this up into multiple transactions if needed\n",
    "        for image_id in range(num_images):\n",
    "            data = txn.get(f\"{image_id:08}\".encode(\"ascii\"))\n",
    "            # Remember that it's a CIFAR_Image object that is stored as the value\n",
    "            cifar_image = pickle.loads(data)\n",
    "            # Retrieve the relevant bits\n",
    "            images.append(cifar_image.get_image())\n",
    "            labels.append(cifar_image.label)\n",
    "    env.close()\n",
    "    return images, labels\n",
    "\n",
    "\n",
    "def read_many_hdf5(num_images):\n",
    "    \"\"\" Reads image from HDF5.\n",
    "        Parameters:\n",
    "        ---------------   \n",
    "        num_images   number of images to read\n",
    "        \n",
    "        Returns:\n",
    "        ----------\n",
    "        images      images array, (N, 32, 32, 3) to be stored\n",
    "        labels      associated meta data, int label (N, 1)\n",
    "    \"\"\"\n",
    "    images, labels = [], []\n",
    "\n",
    "    # Open the HDF5 file\n",
    "    file = h5py.File(\n",
    "        hdf5_dir / f\"{num_images}_many.h5\", \"r+\"\n",
    "    )\n",
    "\n",
    "    images = np.array(file[\"/images\"]).astype(\"uint8\")\n",
    "    labels = np.array(file[\"/meta\"]).astype(\"uint8\")\n",
    "\n",
    "    return images, labels\n",
    "\n",
    "\n",
    "_read_many_funcs = dict(\n",
    "    disk=read_many_disk,\n",
    "    lmdb=read_many_lmdb,\n",
    "    hdf5=read_many_hdf5,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Method: disk, No. images: 10, Time usage: 0.007798415004799608\n",
      "Method: lmdb, No. images: 10, Time usage: 0.0014411589945666492\n",
      "Method: hdf5, No. images: 10, Time usage: 0.0024644029981573112\n",
      "Method: disk, No. images: 100, Time usage: 0.07457431899820222\n",
      "Method: lmdb, No. images: 100, Time usage: 0.009639914002036676\n",
      "Method: hdf5, No. images: 100, Time usage: 0.004666212997108232\n",
      "Method: disk, No. images: 1000, Time usage: 0.5799051089998102\n",
      "Method: lmdb, No. images: 1000, Time usage: 0.04127998500189278\n",
      "Method: hdf5, No. images: 1000, Time usage: 0.014238975003536325\n",
      "Method: disk, No. images: 10000, Time usage: 5.8348617760057095\n",
      "Method: lmdb, No. images: 10000, Time usage: 0.31768411499797367\n",
      "Method: hdf5, No. images: 10000, Time usage: 0.09621400500327582\n",
      "Method: disk, No. images: 100000, Time usage: 62.479549773001054\n",
      "Method: lmdb, No. images: 100000, Time usage: 3.457494147995021\n",
      "Method: hdf5, No. images: 100000, Time usage: 1.3067588940029964\n"
     ]
    }
   ],
   "source": [
    "from timeit import timeit\n",
    "\n",
    "read_many_timings = {\"disk\": [], \"lmdb\": [], \"hdf5\": []}\n",
    "\n",
    "for cutoff in cutoffs:\n",
    "    for method in (\"disk\", \"lmdb\", \"hdf5\"):\n",
    "        t = timeit(\n",
    "            \"_read_many_funcs[method](num_images)\",\n",
    "            setup=\"num_images=cutoff\",\n",
    "            number=1,\n",
    "            globals=globals(),\n",
    "        )\n",
    "        read_many_timings[method].append(t)\n",
    "\n",
    "        # Print out the method, cutoff, and elapsed time\n",
    "        print(\n",
    "            f\"Method: {method}, No. images: {cutoff}, Time usage: {t}\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0ZPmABo9VoAOFOskkNzc3AG7evJlmeoUKFRgwYAAxMTGMHz/erG0tW7YMg8HAG2+88cAQ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\nqufiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a7b6978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a92de80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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lHh4e+Pr6Eh8fX7IPQAghRKk4HBxLz3nH+elYBH1bvsCRiV0Z3qm+FH3PQVr8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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a82ea20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x118647860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "disk_x_r = read_many_timings[\"disk\"]\n",
    "lmdb_x_r = read_many_timings[\"lmdb\"]\n",
    "hdf5_x_r = read_many_timings[\"hdf5\"]\n",
    "\n",
    "plot_with_legend(\n",
    "    cutoffs,\n",
    "    [disk_x_r, lmdb_x_r, hdf5_x_r],\n",
    "    [\"PNG files\", \"LMDB\", \"HDF5\"],\n",
    "    \"Number of images\",\n",
    "    \"Seconds to read\",\n",
    "    \"Read time\",\n",
    "    log=False,\n",
    ")\n",
    "\n",
    "plot_with_legend(\n",
    "    cutoffs,\n",
    "    [disk_x_r, lmdb_x_r, hdf5_x_r],\n",
    "    [\"PNG files\", \"LMDB\", \"HDF5\"],\n",
    "    \"Number of images\",\n",
    "    \"Seconds to read\",\n",
    "    \"Log read time\",\n",
    "    log=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare with the write times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vAwcOZOHChbRr1w6VSkVCQgIBAQE0b96cDRs2YGRkpKlnyJAhHDx4kD/++IOW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\nCAwMxMSJEwXDdFqjRo0CABQUFPDzsgAgNTWVH8p7G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      "text/plain": [
       "<matplotlib.figure.Figure at 0x126858b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11aab70f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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4dejQATs7O44dO8aQIUNo3749169f5+rVq/Tq1YtPPvmkvEOsUGxsbJg8eXK+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\n+BEREREpBAs/IiIiIoVg4UdERESkEP8D1e3x3OvDAU8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x126858cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f134f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_with_legend(\n",
    "    cutoffs,\n",
    "    [disk_x_r, lmdb_x_r, hdf5_x_r, disk_x, lmdb_x, hdf5_x],\n",
    "    [\n",
    "        \"Read PNG\",\n",
    "        \"Read LMDB\",\n",
    "        \"Read HDF5\",\n",
    "        \"Write PNG\",\n",
    "        \"Write LMDB\",\n",
    "        \"Write HDF5\",\n",
    "    ],\n",
    "    \"Number of images\",\n",
    "    \"Seconds\",\n",
    "    \"Store and Read Times\",\n",
    "    log=False,\n",
    ")\n",
    "\n",
    "plot_with_legend(\n",
    "    cutoffs,\n",
    "    [disk_x_r, lmdb_x_r, hdf5_x_r, disk_x, lmdb_x, hdf5_x],\n",
    "    [\n",
    "        \"Read PNG\",\n",
    "        \"Read LMDB\",\n",
    "        \"Read HDF5\",\n",
    "        \"Write PNG\",\n",
    "        \"Write LMDB\",\n",
    "        \"Write HDF5\",\n",
    "    ],\n",
    "    \"Number of images\",\n",
    "    \"Seconds\",\n",
    "    \"Log Store and Read Times\",\n",
    "    log=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
